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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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analyses (e.g., Linkage, QTL and GWAS analyses). Hands-on experience in phenotyping plants (e.g., cereals) is a must. Experience with molecular, cytological and/or biochemical techniques or R programming is
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or interest in game theory, tax competition and fiscal federalism, welfare economics, environmental economics, public economics is a plus Ideally Working knowledge of programming languages such as Mathematica
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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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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Open Source Developer for Digital Scientific Infrastructures (m/f/d
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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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well as job prospects in academia and industry. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries