68 computer-programmer-"Multiple"-"Humboldt-Stiftung-Foundation"-"U"-"U.S"-"Prof" positions at Leibniz in Germany
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science foundation (DFG). Doctoral students (m/f/d) are facilitated to participate in the doctoral program in order to successfully complete their dissertation. We offer an attractive workplace with
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The...
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research institutions, and a research and development provider for numerous companies throughout the world. The...
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") – Senckenberg badge in combination with free admission to numerous municipal museums – a collectively agreed annual special payment – collectively agreed vacation entitlement – company pension plan Place of
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, computer science studies) Proven experience in data analysis Fluent in English (C1) Excellent data visualization and communication skills, particularly in the preparation of reports and policy analysis
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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, informatics, bioinformatics, biology or a similar field and some years of postdoc experience Profound experience with analytical and universal programming languages Evidence for leadership skills Very good