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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
intelligence/machine learning (AI/ML) and pharmacokinetic/pharmacodynamic (PK/PD) models that reduce reliance on animal testing and enable the quantitative evaluation of safety and efficacy for antibody and mRNA
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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applications for a Postdoc (m/f/d) in the ERC project “Algorithmic Governance – A Public Perspective” (AGAPP). About us The Munich School of Politics and Public Policy (HfP), with its affiliation
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at the top venues of machine learning research. Responsibilities and qualifications You should have prior experience with machine learning from both a theoretical and practical perspective. Experience in one
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable
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physical environments. This position focuses on research at the intersection of computer graphics, generative AI, and robotics, encompassing topics such as generative modeling, reinforcement learning, multi
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supports DEI/JEDI initiatives to create a culture of belonging https://careersearch.stanford.edu/diversity . Your primary responsibilities include*: Work with the faculty, postdocs, and department
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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: This project is related to machine learning for Urban Informatics. In this context, the intersection between the urban infrastructure and digital technologies plays an essential role. The aim is to develop
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. The postdoc position is for until Dec 31, 2026. The research is in the broad area of graph data management, mining, systems, and machine learning on graphs, including knowledge graphs, social and biological