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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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by Prof. Marc Gruber, within EPFL's College of Management of Technology. You will have scope to develop your own research agenda and to collaborate with Prof. Gruber and the Chair's researchers
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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efficient. The position will be based in the Earth Sciences Department at the University at Buffalo and will collaborate closely with grant partners at UB and other institutions. UB is a global leader in
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skills Demonstrated potential for original or collaborative scholarship Scientific writing skills demonstrated through peer-reviewed publications Ability to acquire accurate, reproducible data Critical eye
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in scientific conferences and presentation of research findings; active participation in teamwork, including collaboration with team members in carrying out interdisciplinary research tasks; complying
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learning models (e.g., multimodal AI, large language/world models) with specific finetuning for ELEVATE; designing geographically context-sensitive urban design recommendations that promote active mobility
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research is built around three intertwined questions: how to measure and understand behavior with AI, how brains and embodied agents learn to control the body, and how the brain builds a sense of its body
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Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences
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specialists, helping to shape the College’s approach to AI integration while maintaining its liberal arts values. Responsibilities include: Collaborating with and supporting Bowdoin faculty in integrating AI