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técnicas de machine learning e IA. Sólidos conocimientos en análisis y tratamiento de datos, programación y desarrollo de modelos analíticos. Experiencia con bases de datos y herramientas de análisis
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option to collaborate with Fabian Schneider and other researchers at the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT). Expected start date and duration of employment
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You will be part of the dairy group at the Division of Food and Pharma, in close collaboration with the membrane group at the Division of Chemical Engineering. The dairy group conducts research and
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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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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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recommended and will help us with the review process. You may upload these documents on the application under CV/Resume. Why Texas A&M University? Texas A&M University is committed to enriching the learning and
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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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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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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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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