94 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Leibniz in Germany
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and other stakeholders - knowledge-driven and application-inspired. To strengthen the Department Data Science in Bioeconomy, we are looking for Two Student Research Assistants (m/f/d) (40-80h per month
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The Leibniz Institute of Vegetable and Ornamental Crops (IGZ) strives for excellence in horticultural research and related plant, environmental, and social sciences. Based in Großbeeren, close to
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The Leibniz-Forschungsinstitut für Molekulare Pharmakologie (FMP) belongs to the „Forschungsverbund Berlin e. V.“, an institution of seven natural sciences research institutes in Berlin funded by
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assistant to work approximately 40 hours per month to construct a new address data-based amenity index. Our project lies at the intersection of spatial economics and political economy. It aims to depict
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applications for a permanent W3 professorship with a focus on computational and/or experimental approaches in neuroscience. The position is jointly appointed at the Faculty of Natural Sciences, OVGU, and
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The Halle Institute for Economic Research (IWH) – Member of the Leibniz Association is offering the position of Postdoctoral Researcher in Financial Economics (f/m/x, 100%) JEL Classification: G
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economics, political science, or a related field A track record of academic excellence and very good grades Experience as a research assistant working on data management and or programming Very good knowledge
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of composite materials "from the scientific basis to the component". To strengthen our team in the „Mechanische Charakterisierung & Modellierung“- we are looking for a Research Assistant (m/f/d) Your task You
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of composite materials "from the scientific basis to the component". To strengthen our team in the „Smart Composites & Nondestructive Testing“- we are looking for a Research Assistant (m/f/d) Your task Non
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degree (MSc/PhD) in a relevant field (e.g Bioinformatics Informatics, Computational Biology, Biostatistics, Data Sciences preferably with a background in NGS analysis. the applicants should be highly self