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chromatin biochemistry and in vitro reconstitution o bioinformatics workflows (R/Python), statistics, reproducible analysis o third generation sequencing (e.g. Oxford Nanopore) fluent English language
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable interest in policy-relevant science and sustainability frameworks strong motivation
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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analysis is expected; familiarity with scientific programming environments (e.g. Python, R, or similar) is highly desirable Interest in policy-relevant science and sustainability frameworks Strong motivation
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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related field experience with numerical models and/or large observational datasets strong skills in scientific programming (e.g. Python, Fortran, or similar) ability to work independently and in
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, Yb:YAG/YLF, OPCPA, or related architectures Knowledge of simulation/design software (Python, Comsol, CAD) Drive to innovate and communicate in an international environment Proficient communication skills
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a related field. Demonstrated expertise in analyzing high-throughput sequencing data and developing bioinformatics tools. Proficiency in programming languages such as Python or R, and experience with
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 1 month ago
programming language (e.g., Python) and in R Willingness and ability to work in both lab and field environments Very good English knowledge (approximately equivalent to CEFR level C1) Preferred Qualifications
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pressure-temperature sensors Conduct independent code development and testing in Python or python-based languages Joint interpretation of seismological data and tidal or modelling data. Prepare presentations