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Field
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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/casa-sdl-dbe/pinm ) 3. ProSeC: Bacterial protein secretion: from modeling and data analysis to application (Link: www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe/prosec ) 4. VICAR: In vivo
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the candidate's curriculum vitae, it will be delivered within 10 working days; Other documents that the candidates may find relevant for the analysis of their application. If a member of the jury is not fluent in
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Physics, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics and microscopy
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Applied Physics, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics and
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the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing. The activities within the project will benefit from synergies with other
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network, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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Help us pioneer gravitational wave probes of dark matter. Do you want to work at the interface of general relativity, cosmology, and data analysis, and help build the tools that will make dark
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numerous seminars and opportunities to interact with internationally renowned scientists. The study of sexual selection has become one of the most influential, but also most debated fields in evolutionary