32 postdoc-parallel-computing Postdoctoral research jobs at Technical University of Munich
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reduction, nonlocal PDE operators or OpenMP/MPI/CUDA parallelization? If such terms are familiar for you - and if you are excited by the mathematical analysis, development, and rigorous understanding
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06.07.2022, Academic staff Für eine der PISA Hauptdomänen (Lesen, Mathematik, Naturwissenschaften) nach Wahl wird zum nächstmöglichen Zeitpunkt ein*e Postdoc gesucht. Nähere Informationen zur Stelle
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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03.02.2023, Academic staff Postdoc Position (m/f/d, TV-L E 12 position, for 15 months, extension possible depending on funding) in “Surface Chemical Physics and Molecular Nanoscience” at Technical
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through the TUM Postdoc Academy, Talent Factory, and dedicated mentoring. A vibrant interdisciplinary environment across TUM’s Straubing, Munich, and Garching campuses, and strong links to LMU, MPI, ifo
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into your coursework. Please send your application to [email protected], with the subject line: “Supply Chain PhD” if you are applying at the doctoral level or “Supply Chain PostDoc” if you are
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unprecedented image quality and quantitative performance. As part of a multidisciplinary team spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you
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systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct
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Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field to understand how
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applicant has a strong background in computational biophysics, as well as data analysis and solid English-language skills. Previous experience in modeling G protein-coupled receptors or membrane proteins is