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learning, optimization, mathematical foundations of artificial intelligence, mathematical ecology and mathematical statistics. Qualifications To qualify as a postdoctoral scholarship holder, the postdoctoral
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ICFO is offering postdoctoral positions to well-qualified, highly motivated and dynamic young scientists who wish to contribute advance technologies that drive the clean energy transition. The CO2
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will
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experience with tabular or heterogeneous data, particularly across multiple da-tasets, domains, or tasks Is familiar with mathematical optimization methods, such as mixed-integer linear programming Has
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, reference Requisition 37719. See https://www.math.unm.edu for additional information. Letters of recommendation should be sent by email to [email protected] or by surface mail to Department of Mathematics
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engineering, control engineering, operations research, applied mathematics, or a closely related field. Documented experience in energy-system modelling, mathematical optimization, control, digital twins
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: - A PhD degree in optimization or systems and control theory. - A strong mathematical background and an interest in conducting theoretical research. - A proven track record. - Excellent English
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Previous Job Job Title Postdoctoral Associate in Mathematical Foundations of Generative AI Next Job Apply for Job Job ID 375806 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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project OPTiMiSE – Optimal Transport and Metric Structures for Evolution Problems, which aims to develop new mathematical methods for the study of evolution problems through optimal transport theory, metric