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closely linked to the working group of Prof. Ulf Karsten at the University of Rostock and the overarching program “STB – Shallow Water Processes and Transitions to the Baltic Scale” (STB – Processes in
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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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require further information, please do not hesitate to contact Dr. Veronika Vetýšková (veronika.vetyskova@leibniz-inm.de) or Prof. Wilfried Weber (wilfried.weber@leibniz-inm.de). The INM practices an open
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Experience in planning of epidemiological studies and/or the analysis of data from statutory health insurances would be desirable Programming skills in SAS and R Good knowledge of spoken and written English
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or similar, obtained by the start date Experience in modeling using Python, MATLAB or similar Basic programming skills Proficiency in scientific English (written and spoken) Willingness to spend several months
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the knowledge graph Your profile Masters, Diploma or equivalent degree in Bioinformatics or similar, obtained by the start date Experience in programming and databases Basic biological understanding Proficiency
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functionalities. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future
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interventions in healthcare in companies, schools and universities. On October 1, 2025, a new research group was established at the LIR under the leadership of Prof. Dr. Julia Linke. The group’s research
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computational approaches Beyond technical training, you will join a dynamic, collaborative and international team and receive structured support through our PhD training program. Your Profile: Master’s degree
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. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future". The motivation is to