165 parallel-computing-numerical-methods-"Simons-Foundation" positions at Nature Careers in Germany
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: 01.10.2025 Application deadline: 03.09.2025 Tasks Execution of experimental work in a mouse model of cortical multiple sclerosis Application of in vivo imaging and quantitative analysis methods Investigation
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collaborate with MIP.labor fellows to develop new science journalism formats related to current research in mathematics, computer science, and physics. Research and practice fuel each other. To manage and
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field Modern infrastructure anda state-of-the-art-laboratory with committed colleagues to manage project-related challenges Support of new research ideas beyond the existing research program Encouragement
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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well as modern genetic engineering methods and microscopy. Requirements: a very good MSc or equivalent degree in Biology, Biochemistry/Biophysics is required for employment experience in cell or molecular biology
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-of-the-art methods. In their research candidates should address key questions of lipid metabolism, membrane maintenance or dynamic modulation of the membrane in response to varying environmental conditions in
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast phenomena, X-ray physics and
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The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical Physics of Solids in Dresden
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(e.g. FRS, RIPS). Solid programming skills for analysis and simulation (C++, Python, ROOT, GEANT4, NPTool). Familiarity with experimental data analysis techniques including PID methods, and angular