[UAI] Postdoc Positions with Prof. Angela Yu

Two postdoctoral positions are immediately available in Dr. Yu's Computational & Cognitive Neuroscience Lab at University of California San Diego. Initial appointment is for one year, renewable for up to 2-3 years. One position is primarily in computational modeling of human learning and decisio

[UAI] NMR-2021: Call for participation

                                    [Apologies if you receive this more than once] *CALL FOR PARTICIPATION*

[UAI] CFP: DATA STREAMS TRACK - ACM SAC 2022 (Extended deadline: October 24, 2021)

*ACM Symposium on Applied Computing * The 37th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic April 25 – April 29, 2022 https://www.sigapp.org/sac/sac2022/ *Data Streams Track * https://abifet.github.io/SAC2022/ *Call for Papers * The rapid development in Big Data inf

[UAI] CFP: DATA STREAMS TRACK - ACM SAC 2022 (Extended deadline: October 24, 2021)

*ACM Symposium on Applied Computing * The 37th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic April 25 – April 29, 2022 https://www.sigapp.org/sac/sac2022/ *Data Streams Track * https://abifet.github.io/SAC2022/ *Call for Papers * The rapid development in Big Data inf

[UAI] Open-Rank Faculty Positions at UC Riverside

The Department of Computer Science & Engineering at the University of California at Riverside is searching for multiple open-rank faculty positions in many areas including machine learning, natural language processing, robotics, and AI. Please find the full details at https://aprecruit.ucr.edu

[UAI] CFP: 12th IEEE Workshop on Parallel / Distributed Combinatorics and Optimization (PDCO 2022) in conjunction with IEEE IPDPS 2022, Lyon, France

Please, accept our apologies in case of multiple copies of this CFP. *** The 12th IEEE Workshop on Parallel / Distributed Combinatorics and Optimization (PDCO 2022) https://pdco20

[UAI] [CfP] [Extended deadline] The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP)

[Apologies for multiple postings] ** *CALL FOR PAPERS* The 2^nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioi

[UAI] Post-doc IRIT/Toulouse (France)

Dear, (sorry for multiple postings) We are recruiting a post-doc at IRIT (France) in the context of the DACE-DL project (DAta-CEntric AI-driven Data Linking). Recruitment is scheduled for early 2022 for 24 months. Thank you for circulating this offer in your networks. Regards, Cassia Trojahn

[UAI] Text2Story@ECIR'22 Narrative Extraction from Texts Workshop CFP

*** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ Fifth International Workshop on Narrative Extraction from Texts (Text2Story'22) Held in conjunction with the 44th European Conference on Information Retri

[UAI] Call-for-Papers Special Issue "Explainable User Models" (Multimodal Technologies and Interaction Journal)

— Apologies for cross-posting — Special Issue "Explainable User Models" A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088). Important Dates & Facts: Abstract/title submission: ideally until November 5, 2021 Manuscripts due by: February

[UAI] CFP - (SaT-CPS 2022) ACM Workshop on Secure and Trustworthy Cyber-Physical Systems

[Apologies if you got multiple copies of this invitation] Dear Colleagues, Please consider submitting and/or forwarding to the appropriate groups/personnel the opportunity to submit to the *ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2022)*, which will be held in Baltim

[UAI] Deadline Extension - [IEEE TETC (IF:7.691) Special Section] Call for Papers: Emerging Techniques for Trusted and Reliable Machine Learning

Dear Colleague, The deadline of submission for our TETC special issue (please see details below) has been extended to October 30, 2021. We sincerely appreciate your support and look forward to your submission(s). Best regards, The GEs Quoting Shanshan Liu : Dear Colleague,   IEEE T