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Postdoc in energy systems modelling and optimization (V25.0156) « Back to the overview Job description Are you passionate about shaping the future of energy? We're looking for an energetic
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if you Have a PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). Have experience with
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developing analytical models to describe the optical properties of the structures. The postdoc will work with PhD candidates to compare the theoretical and experimental results. In addition, the candidate will
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PhD in operations research, industrial engineering, or a related field with a strong background in mathematical modeling and optimization (completed or near completion). - Have experience with energy
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which includes your proficiency in both English and Dutch a copy of your PhD thesis or, if it is not yet available, an outline and summary of your thesis and one of your scientific papers. Upload your
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adaptive, personalized interventions that dynamically respond to an individual’s behavior and environment. You will conduct independent research focused on developing and optimizing such adaptive and
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on peptide sequence and end-group functionalization; 2) guiding experimental structure optimization workflows to minimize the number of experiments to achieve desired properties; 3) generating new peptide
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, and develop methods to optimize cross-modal representations for enhanced predictive modeling. As a postdoctoral researcher, you will: Design and implement novel multimodal AI architectures
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antigens for broad-spectrum protection; exploring the optimal (viral) vector vaccine platforms for antigen delivery; developing advanced serology tools to track chicken immunity against IBV; collaborating
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candidate who works on several aspects of heat exchanger aerodynamics: Low-fidelity aerodynamic models are to be developed to allow for sizing studies, for aerodynamic optimization, and for system trade-offs