17 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P"-"PDI-Service"-"FEMTO-ST" positions at Heidelberg University in Germany
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in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health and
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equivalent in Mathematics, Computer Science, or Statistics Proficiency in one or multiple programming languages (R, Python, Julia, MATLAB) Interest in infectious disease dynamics, public health, global health
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programming skills in Python and R Experience in software development, particularly in dashboard or web application creation Familiarity with geospatial analysis, GIS tools, or related technologies is a plus
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oriented, English-language Master′s program (M.Sc. in Economics). The teaching load is determined in accordance with the teaching duties regulation of the State of Baden-Württemberg. The position requires a
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research center funded by the DFG, is based at the Faculty of Chemistry of Heidelberg University, bringing together researchers within a multidisciplinary research program on “N-heteropolycycles as
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and have basic knowledge of R programming You are fluent in English, can work in a team, and are open to interact with international peers We offer: A vivid and interactive environment with
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(bulk and single-cell) Proficiency in relevant programming languages (e.g. Python, R, etc.), HPC environments (e.g. Slurm), and workflow management systems (e.g. Snakemake) To work accurately and being
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considered an asset Programming experience in Python Ability to work in a team Self-driven, independent, and goal-oriented work ethic Good command of written and spoken English We offer: Comprehensive courses
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Temporary Job Status Full-time Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226517 Is the Job
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builds bridges between past and future, between community and academia. Funded by the German Research Foundation (DFG), the RTG aims to reveal enmity as a processual, relational, and deeply ambivalent