Ecolog-L Postdoc offer - Aquatic ecosystem services (Finland)

[Miguel Villoslada]

Dear colleagues,
We are looking for a postdoctoral researcher to join our team as part of the 
Water4All consortium (project CREATE), recently launched and led by the 
University of Eastern Finland. The position focuses on ecosystem services and 
nature-based solutions in aquatic environments, with an emphasis on 
eutrophication and modeling (e.g., SWAT).
The position will be based in Joensuu (Finland) and the deadline is tight! 
(27th March).
For more details, please follow this link: 
Postdoctoral Researcher, Aquatic 
ecosystem services, Water4All 
consortium

Best regards,
Miguel Villoslada




Miguel Villoslada, PhD



Assistant Professor (tenured)

Digital Geosciences Lab

University of Eastern Finland



https://orcid.org/-0001--6577

Researchgate: https://www.researchgate.net/profile/Miguel-Villoslada

X: @MiguelVillosPe
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Ecolog-L Free Webinar: Learn how to Build an Adaptive Management Culture around a Conservation Plan

[Quinn Shurtliff]

For nearly 15 years, I have obsessed on how to create and implement
effective, succinct conservation plans that serve as strategic roadmaps for
organizations and partnerships. I'm thrilled to invite you to a free webinar
where I will share my 6-step process for building a conservation plan and
an adaptive management culture that supports long-term success.

*Webinar Title*: *Deliberate Conservation: A Proven Process for Building an
Adaptive Management Culture Around a Conservation Plan*

*Date*: April 3, 2025

*Time*: 1:00 – 2:00 p.m. Eastern Time

Click here to Register


*What You'll Learn:*


   - How to incorporate current and past information into the plan without
   partners feeling like they are going through “another planning process.”
   - Tips for avoiding planning fatigue.
   - Systems of accountability and adaptability to be employed during year
   1 of implementation.
   - Best practices for revisiting and maintaining the plan over time.
   - Techniques for keeping partners engaged seeing value in the partnership

If you are interested in saving years of learning through trial and error,
register now and secure your spot! If you are unable to attend, a recording
will be made available to all registrants.

At a time when resources for conservation are at a low ebb, we must work
more effectively in partnerships and maximize effectiveness with the
resources we have. This webinar will help you do this!

Looking forward to seeing you there!


Strategically yours,

Quinn

Quinn Shurtliff, Ph.D
Certified Conservation Coach
208.851.2893
www.NaturePlan.org 
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Ecolog-L Free Career Workshop: Mastering Your Future: The Path to a Professional Science Career

[STREAM]

Hi all,


Have you considered a career in environmental science but want to focus
your learning away from academia and toward skills for industry, nonprofit,
and government work? Do you want to go to grad school but prefer to have an
experience-based curriculum rather than a primarily research-focused degree?



If so, you might be interested in learning more about a professional
master's degree. Learn more about this less-traveled path with Lexi
Yokomizo (UC Davis) in an asynchronous FLOWshop, brought to you free of
charge by the Scholar Team for Research, Engagement, and Advancing Minority
voices (STREAM). In this FLOWshop, Lexi will welcome you to her experience
as a professional master's student, share insider tips, and provide
insights to help you decide if this career path is suitable for you.


All are welcome to access this opportunity!


RSVP at our website to gain access to this exclusive release, which will go
live on 3/27/225 at 7pm EST

https://streamemerge.wixsite.com/stream/event-details/flowshop-mastering-your-future-the-path-to-a-professional-science-career

Best,

The STREAM team



Learn more about us online at

Instagram: @sfs_streamemerge

Our Website: https://streamemerge.wixsite.com/stream

Email: streameme...@gmail.com


*STREAM*
Scholar Team for Research, Engagement, & Advancing Minority voices
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Ecolog-L Register! 3/26 SCBNA Policy Webinar #5: Success Stories & Best Practices in State Wildlife Conservation

[Lisa Wang]

3/26 SCBNA Policy Webinar #5: Success Stories & Best Practices in State
Wildlife Conservation

Join the SCBNA Policy Committee for the fifth webinar in our series,
focusing on success stories and best practices in state wildlife
conservation. This session will introduce attendees to the basics of state
wildlife action plans – including key examples – and will provide an
overview of state agencies’ record of success in wildlife conservation.

We will hear from 3 presentations:
1) Introduction to State Wildlife Action Plans 101
2) Agency Evolution and Record of Success
3) Looking to the Future – Georgia Wildlife Action Plan
-
Date/Time: Wednesday, March 26, 2025, from 2-3:30 PM CDT

Register here:
https://us02web.zoom.us/meeting/register/0M_M1G_nQdq2YZ9QEKQzvw#/registration

Learn about upcoming events with SCBNA here:
https://scbnorthamerica.org/index.php/events/

Learn more about SCBNA: https://scbnorthamerica.org/

Thank you! Hope to see you there!
SCBNA
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Ecolog-L Introduction To Mixed Models Using R And Rstudio (IMMR09)

[Oliver Hooker]

ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR09)
https://www.prstats.org/course/introduction-to-mixed-models-using-r-and-rstudio-immr09/

27th - 29th May 2025

This course provides a comprehensive practical and theoretical
introduction to multilevel models, also known as hierarchical or mixed
effects models. We will focus primarily on multilevel linear models,
but also cover multilevel generalized linear models. Likewise, we will
also describe Bayesian approaches to multilevel modelling. We will
begin by focusing on random effects multilevel models. These models
make it clear how multilevel models are in fact models of models. In
addition, random effects models serve as a solid basis for
understanding mixed effects, i.e. fixed and random effects, models. In
this coverage of random effects, we will also cover the important
concepts of statistical shrinkage in the estimation of effects, as
well as intraclass correlation. We then proceed to cover linear mixed
effects models, particularly focusing on varying intercept and/or
varying slopes regression models. We will then cover further aspects
of linear mixed effects models, including multilevel models for nested
and crossed data data, and group level predictor variables. Towards
the end of the course we also cover generalized linear mixed models
(GLMMs), how to accommodate overdispersion through individual-level
random effects, as well as Bayesian approaches to multilevel levels
using the brms R package.

*Day 1*

Topic 1: Random effects models. The defining feature of multilevel models
is that they are models of models. We begin by using a binomial random
effects model to illustrate this. Specifically, we show how multilevel
models are models of the variability in models of different clusters or
groups of data.

Topic 2: Normal random effects models. Normal, as in normal distribution,
random effects models are the key to understanding the more general and
widely used linear mixed effects models. Here, we also cover the key
concepts of statistical shrinkage and intraclass correlation.

*Day 2*

Topic 3: Linear mixed effects models. Next, we turn to multilevel linear
models, also known as linear mixed effects models. We specifically deal
with the cases of varying intercept and/or varying slope linear regression
models.

Topic 4: Multilevel models for nested data. Here, we will consider
multilevel linear models for nested, as in groups of groups, data. As an
example, we will look at multilevel linear models applied to data from
students within classes that are themselves within different schools, and
where we model the variability of effects across the classes and across the
schools.

Topic 5: Multilevel models for crossed data. In some multilevel models,
each observation occurs in multiple groups, but these groups are not
nested. For example, animals may be members of different species and in
different locations, but the species are not subsets of locations, nor vice
versa. These are known as crossed or multiclass data structures.

*Day 3*

Topic 6: Group level predictors. In some multilevel regression models,
predictor variable are sometimes associated with individuals, and sometimes
associated with their groups. In this section, we consider how to handle
these two situations.

Topic 7: Generalized linear mixed models (GLMMs). Here, we extend the
linear mixed model to the exponential family of distributions and showcase
an example using the Poisson GLMM. We also cover how to accommodate
overdispersion through individual-level random effects.

Topic 8: Bayesian multilevel models. All of the models that we have
considered can be handled, often more easily, using Bayesian models. Here,
we provide an brief introduction to Bayesian models and how to perform
examples of the models that we have considered using Bayesian methods and
the brms R package.

Please email oliverhoo...@prstatistics.com with any questions.

Please feel free to share among colleagues and friends


-- 
Oliver Hooker PhD.
PR stats
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Ecolog-L online course: Network Analysis in R

[i...@physalia-courses.org]

Dear all,
We are pleased to announce our upcoming online course: Network Analysis in R
 Dates: 5th-8th May 2025 Format: Online
Course website: [ 
https://www.physalia-courses.org/courses-workshops/network-analysis-in-r/ ]( 
https://www.physalia-courses.org/courses-workshops/network-analysis-in-r/ )
 
 
This course offers a comprehensive introduction to analyzing network data in R. 
Participants will gain practical experience with:

Building and exploring network objects

Calculating network-, node-, and edge-level statistics

Detecting and evaluating network clusters

Statistical modeling of network data

Creating clear, insightful visualizations using {tidygraph} and {ggraph}
Who should attend: This course is designed for researchers with a working 
knowledge of R and intermediate familiarity with statistical analysis. While 
the course leans towards applications in the life sciences, the skills acquired 
are easily transferable to other fields.
 
 
Please note: Only a few seats remain. Early registration is recommended to 
secure your place.
 
Best regards,
 
Carlo
 
 

 



Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

i...@physalia-courses.org

mobile: +49 17645230846

[ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin 
]( https://www.linkedin.com/in/physalia-courses-a64418127/ )


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Ecolog-L Postdoctoral Research Associate in Biogeochemical Modelling - The University of Sydney, Australia

[Feike Dijkstra (via ecolog-l list)]

Position title: Postdoctoral Research Associate in Biogeochemical Modelling

The School of Life and Environmental Sciences 
(SOLES)
 at The University of Sydney has an exciting opportunity for a Postdoctoral 
Research Associate to join Feike Dijkstra's 
research team focusing on plant-soil interactions affecting carbon and nutrient 
cycling. The successful applicant will take a leading role in the Discovery 
Project "Root effects on soil organic matter: a double-edged sword" funded by 
the Australian Research Council. The project will use state-of-the art computer 
models that incorporate the latest frameworks on soil organic matter 
interacting with plant roots. Research will lead to an improved capacity to 
predict soil organic matter dynamics in grassland ecosystems affected by 
drought. The role presents an opportunity to collaborate with leading partners 
in our research including Claudia 
Keitel,
 Federico 
Maggi
 and Francesca Cotrufo.

You will be responsible for:

  *   Modification, parameterization, calibration, and validation of 
mechanistic models to simulate soil organic matter dynamics in grasslands 
affected by drought
  *   presenting project updates, overviews, and formal presentations of 
research activities
  *   preparation of peer-review papers, as a lead or co-author
  *   providing appropriate mentoring to relevant staff and students on the 
projects

About you
The University values courage and creativity; openness and engagement; 
inclusion and diversity; and respect and integrity. As such, we see the 
importance of recruiting talent aligned to these values and are looking for a 
Postdoctoral Research Associate in Biogeochemical Modelling who has:

  *   a PhD or near completion in biogeochemistry, soil science, environmental 
science, or a related discipline
  *   a developing research profile evidenced by original, high-quality and 
independent research in carbon/nutrient cycling in terrestrial systems
  *   experience in using mechanistic models, and preferably with coding 
experience
  *   excellent written, oral and interpersonal communication and time 
management skills

Pre-employment checks
Your employment is conditional upon the completion of all role required 
pre-employment or background checks in terms satisfactory to the University. 
Similarly, your ongoing employment is conditional upon the satisfactory 
maintenance of all relevant clearances and background check requirements. If 
you do not meet these conditions, the University may take any necessary step, 
including the termination of your employment.

EEO statement
At the University of Sydney, our shared values are trust, accountability and 
excellence and we 
strive to be a place where everyone can thrive. We are committed to creating a 
University community that thrives through diversity and reflects the wider 
community that we serve. We deliver on this through our commitment to diversity 
and 
inclusion, 
evidenced by our people and culture programs, as well as key strategies to 
increase participation and support the careers of Aboriginal and Torres Strait 
Islander 
People,
 
women,
 people living with a 
disability,
 people from culturally and linguistically diverse 
backgrounds,
 and those who identify as 
LGBTIQ+.
 We welcome applications from candidates from all backgrounds.

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) 
Gold employer. Find out more about our work on diversity and 
inclusion.

How to apply
Applications (including a cover letter, CV, and any additional supporting 
documentation) can be submitted by 27 April via the Apply button here: 
https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Brownlow-Hill/Postdoctoral-Research-Associate-in-Biogeochemical-Modelling_0132695-1.


FEIKE A DIJKSTRA
Centre for Carbon, Water and Food
School of Life and Environmental Sciences

THE UNIVERSITY OF SYDNEY
Centre for Carbon, Water and Food, 380 Werombi Rd | Camden | NSW | 2570
T +61 2 9351 1817  | F +61