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Field
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datasets and validating numerical models developed within the laboratory. 2.2 Responsibilities The successful postdoctoral researcher will join a research team developing a unique experimental platform at
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, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this
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superconducting quantum circuits, particularly transmon qubits. The postdoctoral researcher will learn, operate, improve, and help develop custom experimental techniques optimized for small-volume and thin-film
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, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second position will focus primarily on the geometric representation of complex data
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GENESIS-related AI research, including the development and validation of fast models for integrated core-edge digital twins, control-oriented simulations, and fusion-plasma scenario optimization. Prepare
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control and optimization strategies, run high-performance numerical experiments, analyze data, and communicate your findings through journal publications and conference presentations. The ideal candidate
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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hours per week, initially limited until 31.12.2028 Remuneration according to TV-L The Göttingen Campus is hosting numerous prestigious and internationally renowned research institutions. This includes
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://efodorphysics.github Your role The project aims to develop novel analytical and numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active