623 information-security "https:" "https:" "https:" "https:" "https:" "Dr" "Robert Gordon University" PhD positions in Germany
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. The TOEFL DI Code is 2258. Application deadline All applicants: 15 February for the following winter semester Submit application to The application can be submitted via the online application form: https
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this position is located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed Master degree in Physics, Materials Sciences or Chemistry, with a good track record
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Degree PhD; Dr rer nat; Dr rer biol hum; Dr med Course location München In cooperation with Stiftung Patient & Klinische Pharmazie Teaching language German English Languages The programme is mainly
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requirements German diploma ("Diplom"), Master's degree or Dr med Language requirements Excellent English (TOEFL 550 (paper-based), 213 (computer-based), 80 (internet-based) or equivalent Application deadline 1
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Candidates (f/m/d) for Challenges in Infection Research at the HZI Details: https
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to evaluate and investigate various aspects of current and future riverine matter transport. For further information about the position, please contact Dr. Stefan Hagemann Your profile Master's or comparable
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: Your professional development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https
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of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine:The program aims to form a bridge between Science
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reliability through systematic validation methods. CAVECORE combines cutting-edge research in AI-enabled robotics with novel evaluation frameworks aligned with EU AI Act requirements. More information: https
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. “Language Models for Oncological DNA Sequence Analysis (LAMOSA)” (working group of Dr Sören Lukassen) 6. “Population-omics to Inform Personalised Drug Prescriptions” (working group of Prof. Maik