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, OpenFOAM), and plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov
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manufacturing process Laser Powder Bed Fusion (PBF-LB/M ). With PBF-LB/M, metallic components with almost any complex geometry can be additively manufactured using a layer-by-layer structure. The versatile range
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CRC 1114 aims at methodological developments for the modelling and computational simulation of complex processes involving many (more than two) interacting scales, driven by real-life applications from the bio-, geo-, and material sciences. In its individual projects, mathematicians cooperate...
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A PhD position is available in the Freund group at FU Berlin (https://www.bcp.fu-berlin.de/en/chemie/biochemie/research-groups/freund-group/index.html). The position is limited until June 30, 2028. This collaborative project between the Quantitative Biosciences Institute at the University of...
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part of Helmholtz networks, e.g., HIRSE; https://www.helmholtz-hirse.de and internationally Your Profile: University degree (Master, Diploma) in natural sciences, computer science or engineering PhD in
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The Clementi's group in the Physics Department at Freie Universität Berlin seeks a doctoral researcher (75%) to work on the development and application of coarse-graining methodologies to study macromolecular dynamics with statistical mechanics, molecular simulation at different resolutions,...
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communications skills and the ability to work independently as part of a team - ability to collaborate with partners from other institutions and to do hydrogeological field work in other countries - very good
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The Pagel research group focuses on the structural analysis of biological macromolecules and their non-covalent complexes in the gas phase. Particular emphasis is placed on the application of ion mobility-mass spectrometry (IM-MS) and gas-phase spectroscopy for the characterization and...
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You are thrilled by both conceptual questions and experimental work in the laboratory as well as the optimization and further development of components for high-power fiber lasers and would you like
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the amount of tedious and error-prone manual work. The driving factor is the availability of large amounts of data. However, in this domain data is often sparse or labelling data is expensive. This requires