107 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"U"-"UCL" positions at Leibniz in Germany
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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your work. We expect you to provide a research plan with your application. Cell lines collection: Your working group will coordinate and supervise the genotyping service for internal and external
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development knowledge of the state-of-the-art in climate physics and Earth system modeling and data analysis techniques programming skills e.g. in C, BASH, Python, Latex software user knowledge: MS or Libre
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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-interpretation skills GIS skills Programming skills Strong abstraction capabilities and intrinsic motivation Independent working style and excellent written and oral English skills Further information
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) is a plus. We offer: The possibility to plan for a Master Thesis (or in exceptional cases Bachelor Thesis) as part of the research project; The chance to be part of an engaged, interdisciplinary and
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Interest in research, preferably in a Climate and Earth system research environment Ideally experience with programming languages such as Python and UNIX systems Ideally experience with WordPress
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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collective bargaining agreement (TVöD Bund) including the usual social benefits, i.e. 30 days of vacation, annual bonus, company pension plan with the Versorgungsanstalt des Bundes und der Länder (VBL) Work
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Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access Open and FAIR Data Citizen Science