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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
cultural opportunities, a vibrant student scene, and an impressive scientific heritage. Position details PhD students will have the opportunity to participate in one of several available PhD programs, with
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economics community in Fuerth, Nuremberg and Munich are connected to the Department of Economics at FAU Nuremberg can participate in the structured Junior Faculty Development Program and have the opportunity
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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” or Neuroeconomics is highly welcome, but not mandatory Knowledge of neuroscientific methods (fMRI, EEG, MEG or NIRS) and/or in psychophysics would be of great advantage Programming skills in Matlab, R or python and
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/distributed programming and/or solid UNIX skills Practical experience with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred
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interdisciplinary perspectives excellent communication skills in English (both written and oral) a willingness to engage with and learn the programming languages and software tools necessary for the modeling work. We
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processes Strong experience in working with large datasets and advanced programming skills (e.g., Python, MATLAB, R) Knowledge of biological and biogeochemical processes in the biological carbon pump
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mass transfer, and process engineering Extensive experience in modeling and simulation and ideally knowledge of CFD software (e.g., Ansys Fluent, OpenFOAM, COMSOL) Very good programming skills
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or bioinformatics with strong experience in applied omics research Knowledge in programming languages and statistical analysis Experience with the analysis and integration of high throughput data such as NGS and