123 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at DAAD in Germany
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further academic qualification (usually PhD). Tasks: Contribution to the ERC Synergy Grant “POCOCOP (Polynomial-time computation: opening the black boxes in constraint problems)”. This includes
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60% of the coursework in their degree program. What can be funded? A study semester at a German university, followed by a 4 to 6 month internship in a German company Duration of the funding 12 months
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-reconstruction Employment conditions This is a qualification position in the sense of the German Academic Fixed-Term Contract Act (WissZeitVG) and serves to support a doctoral program. The position is full-time
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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specifically for doctoral students (HITEC): https://www.hitec-graduate-school.de/home FAIR REMUNERATION: Remuneration is part of the EU funding program ‘Marie Sklodowska-Curie’ and depends on the personal
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to complete your doctoral degree in Germany. The scholarships are funded by
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details Web: https://www.uni-kassel.de/fb10/institute/chemie/fachgebiete/computational-chemistry-of-nanomaterials/home.html Legal notice: The information on this website is provided to the DAAD by third
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hours Offer of professional training courses and measures for skill improvement Compensation according to TV-L (including annual special payment) Contribution to your company pension plan (VBL) On-site
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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related fields demonstrated expertise in one or more of the defined focus areas strong analytical and problem-solving skills, with experience in experimental design, data analysis, or computational modeling