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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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programming would be considered an asset. Proven record in publication of results in high-impact journals. Programming experience in at least one the following: C, C++, Fortran. Proven background in software
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication
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Your Job: We are looking for a highly motivated postdoc to join the neutron backscattering spectrometer team to support the instrument development program for the instrument SPHERES. To further
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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research At least one first authorship in a peer-reviewed journal Previous experience in cardiovascular basic research (advantageous but not required) Very good written and spoken English skills, as
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English and submitted online via this survey https://survey.demogr.mpg.de/index.php/951698?lang=en and include the following documents:1_Curriculum Vitae 2_Letter of interest (Max 1 page)Briefly state why
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spin-off opportunities supported by programs like GO-Bio. Your tasks Drive the advancement and integration of laser diode and chip technologies in close collaboration with research teams Perform proof
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and solids. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA