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, efficiency, and degradation under dynamic operating conditions and your work will contribute to the development of new knowledge within this field. Your work tasks In this position you will conduct research
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to contribute to cutting-edge research in photonics-enabled hardware acceleration for AI and advanced computing. You will work alongside a dynamic team at the forefront of next-generation system design, engaging
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
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of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic
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Group offers a dynamic, collaborative and genuinely international environment, with team members originating from France, Portugal, Estonia, Germany, Honduras and the United Kingdom. Embedded in the
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the proven ability to function well and meet deadlines in a dynamic environment. Ability to work with a measure of autonomy and a willingness to participate creatively in a collaborative, team environment
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Department: Department of Biochemical and Chemical Engineering Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European
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at large scale research infrastructures Experience in in vitro experiments to characterise nanoparticle therapeutic efficacy Experience in in molecular dynamics simulations (coarse grain or all atom) and
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will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute