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of Cologne (6 months), and at the optimization software company MOSEK (1 month) in Copenhagen. At the University of Cologne, the secondment will be supervised by Professor Frank Vallentin. The CentER graduate
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups
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streams, and PHA-X, a composite obtained from PHA-rich biomass. You will further develop, test and optimize the PHA-X material, you will, in close collaboration with two industrial partners, contribute
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interdisciplinary meetings and workshops to foster knowledge exchange and innovation. Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare
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life-saving potential, yet optimal patient selection, timing, and device strategies require deeper mechanistic and clinical insight. Our program combines experimental cardiovascular research with robust
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the consequence of selection and the best strategy for recording traits and optimizing selection decisions. For example, breeders must carefully assess risks and the trade-offs of selection for different traits
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will focus on designing and optimizing integrated reactor concepts that combine sequential catalytic reactions with in-situ separation. Using a multi-scale approach, you will couple catalyst development
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(PICs) increasingly used in various applications. To allow a smooth design flow for these PICs, optimized compact models are needed. This PhD position is enabling compact models for optical amplifiers and
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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on the results of the Erasmus+ project EDDIE. When it comes to the research part: This PostDoc project explores how artificial intelligence (AI) can be leveraged to optimize energy portfolios for local energy