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- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
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along a Master’s degree in computational biology, bioinformatics, computer science, (bio)-statistics, mathematics, or related fields. The ideal candidate (m/f/d) will demonstrate a strong drive to excel
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). The institute also maintains locations in Dedelow and Paulinenaue. The in-house project CRoP-SMART (Comprehensive Research on Crop Performance: Statistical Methods for Agricultural Research and Technology) will
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of reference data through manual interpretation and self-developed software tools, and the statistical analysis of the data collected. The position moreover includes an active collaboration within
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
of the following disciplines: computational (bio)physics, structural biology, statistical mechanics, and scientific computing. They hold (or expect to complete soon) a Master’s or equivalent degree in any
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Engineering » Other Language sciences » Linguistics Mathematics » Mathematical analysis Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 20 Jun 2024
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Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | 24 days ago
and experience in one or more relevant programming languages (Python, R, Julia etc.) are important as well as a clear interest in the data sciences (AI, ML, statistics) per se. A strong background in AI
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the metabarcoding data in collaboration with project partners. Bioinformatic and statistical analyses will be performed with command-line based programs such as R and python. The candidate is expected to present
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 5 hours ago
statistics; experience with experimental research; a strong interest in crime research and novel research methods; a highly collaborative attitude (you value teamwork); excellent written and spoken
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Basic knowledge of molecular biology, gene regulation and epigenetics as well as deep understanding of sequence analysis, statistical concepts and machine learning Highly skilled in a programming language
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 29 days ago
datasets (like international or panel surveys) is an advantage Confident mastery of the statistical packages R, knowledge of further packages is an advantage Proficiency in spoken and written English and