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12 Sep 2025 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences » Biology Researcher Profile
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12 Sep 2025 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences » Biology Researcher Profile
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skills and the ability to work in an interdisciplinary, international research environment Excellent knowledge of English (written and oral) Programming/data analysis skills (Python, MATLAB, or similar
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students holding Bachelor degrees be admitted to the BIGS graduate program. Your application should contain: a CV, a cover letter, transcripts of your degrees, proof of English proficiency, a chapter or an
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the knowledge graph Your profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency
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(UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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ECMWF - European Centre for Medium-Range Weather Forecasts | Bonn, Nordrhein Westfalen | Germany | 4 days ago
:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | about 1 month ago
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS – Leibniz-Institute for the Social Sciences is an
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programme within a cutting-edge research environment will start on an individual basis between July 1 and October 1, 2026. The initial contract is limited to three years. Payment is based on the German TV-L
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or similar object-oriented programming languages. Experience with machine learning/statistical methods applied to time series data is advantageous. Familiarity with databases, containerization, and knowledge