23 optimization-nonlinear-functions Postdoctoral positions at University of Groningen
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optimize energy systems becomes critical in steering this shift. As a Postdoctoral Researcher, you will conduct innovative research in energy modeling and optimization across diverse energy sources. The role
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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on the fundamental understanding and process optimization of an electrochemical cell system incorporating redox-flow electrodes and ion-selective membranes for Lithium purification. The goal is to selectively remove
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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experimental structure optimization workflows to minimize the number of experiments to achieve desired properties; 3) generating new peptide sequences with desired target properties. This position will be part
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, and other techniques. The project will hire a postdoctoral researcher, who will work in the GOLEM lab. Your tasks: In collaboration with the other team members, you will work on the creation of a
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on the networked interactions between stakeholders in regional innovation ecosystems and assessing effects of interventions in such networks. We are interested in understanding the role of stakeholders in the set-up
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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences
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show good performance in computa-tional experiments. The project's research outcomes are expected to contribute to the design of safeguarded AI systems that reflect diverse stakeholder prefer-ences