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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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professional groups work hand in hand to provide our patients with optimal treatment. PhD position / Postdoc position (m/f/d) in Cancer Genomics and Oncogenic Signaling Full- or part-time | temporary (12 month
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reliable and reproducible use. Propose and discuss organizational and infrastructure improvements with the MPZPM board, focusing on optimized workflows, state-of-the-art technologies, and strategic upgrades
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defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing domains. In the context
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, execution, and evaluation of experimental series as well as process optimization Presentation and publication of results and communication with project partners Project management, acquisition of new topics
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PhD student (m/f/d) in the field of chemistry, chemical engineering, materials science or comparable
engineering. We are looking for talented people to join us. Your responsibilities include: Setting up automated, laboratory scale reaction processes for synthesizing and optimizing nanoparticles and
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aim to bring quantum photonics to life and shape the future of quantum technology. This fellowship provides optimal conditions to conduct groundbreaking preliminary research, preparing for an ERC
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are looking for talented people to join us. Your responsibilities include: MI Project IE2501 “Safe Hydrogen Networks: ML-Supported Safety Analysis and Optimized Sensor Placement” Research in the field of safety
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Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid
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theory, machine learning interatomic potentials, machine learning Hamiltonians) for the investigation, optimization, and design of sustainable energy materials (especially batteries) Development