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for the computer simulation of electronically excited processes in molecules and materials. In the age of net-zero it is more important than ever to obtain a deep, molecular-level understanding of the working
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analysis tools (e.g., NetworkX or equivalent) Familiarity with permutation-based statistical methods (MR-QAP preferred) Interest in human-computer interaction Special Instructions to Applicants Budget
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39321 Job Number SE184724 Position Information Department or Unit Name Fowler School
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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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: Prior experience running behavioral experiments is desirable, as is previous collaboration or engagement with researchers in economics. Familiarity with methods from machine learning will be a plus. All
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mixed-method studies of gambling behavior and risk among, as well as pathways to, addictions for marginalized communities • Quantitative study of gambling-related harms and gambling-motivated crime
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Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. (https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ); in force. Where to apply E-mail df.semedo