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scientific work • Programming skills, experience with Linux and high performing computing • Experience in joint experimental-theoretical collaborations We are interested in a diverse research community and
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
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work in the lab of Prof. Dr. Carolin Wendling, which explores how bacteriophages shape bacterial adaptation and pathogenicity within the human microbiome. Our interdisciplinary team combines experimental
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=finley&sub_page=research The SNQS group performs research funded by diverse sources including the German Science Foundation (DFG), the Federal Ministry for Research, Technology and Space (BMFTR
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-performance computing systems Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran and Python Competency in visualizing and
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
platform for high-resolution atmospheric meas-urements. MPCK has been deployed over the Atlantic during EUREC4A and in Arctic Finland, performing autonomous measurements like particle image velocimetry and
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers Postdoc position (m/f/d) on the following topic: Thermoelectric Energy Harvesters
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molecular/condensed matter physics) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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Tübingen offers a combination of high-performance medicine and strong research. The goal of the Carl-Zeiss-Project “Certification and Foundations of Safe Machine Learning Systems in Healthcare” is to enable