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for improving the simulation and optimization of distributed systems, for instance by specializing neural ODEs and their training routines. This research will address challenges driven by the energy transition
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. Instrumentation management: Maintain, develop, and troubleshoot high-end NMR spectrometers (400–700 MHz, solution- and solid-state NMR, EPR, Prodigy and He-Cryo units), ensuring optimal performance and reliability
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for optimization under uncertainty, in particular decision-focused learning. • You are an experienced programmer, preferably using the Python programming language. • You are highly organized and have excellent
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experience performing and publishing research in the following domains of operations research: maritime optimization, supply chain optimization. You have experience acquiring third-party funding. Excellent
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, and high-performance computing for biotechnological applications. The project aims to develop computational tools for bioprocess optimization, combining modeling, simulation, and data-driven methods
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important for the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally
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wish to shape the future direction of archival studies through innovative, theory-driven, and practice-oriented research in an optimal research environment. Close cooperation with Austrian and
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: Parallel Computing Cloud Computing Performance Analysis and Optimization Communication Technologies for Supercomputers Workload Management and Scheduling Optimization of LLM Training and Inference Our
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for applications in chemical biology and medicinal chemistry. • Synthetic research work will take place in close coordination with experts in molecular biology and cell biology to enable the optimal design of
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coordination with experts in molecular biology and cell biology to enable the optimal design of the potential cancer therapeutics. • You will be expected to sign a doctoral thesis agreement within 12-18