173 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UNIV" "UNIV" positions at Leibniz
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. For the Energy Transition Lab in Research Department 3 – Transformation Pathways – PIK is offering a Research Analyst and Research Software Engineer postion (m/f/d) (Position number: 08-2026 Research Analyst and
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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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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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Currently enrolled in Bioinformatics, Data Science, Computer Science, Computational Biology, Statistics, or a related field Interest in microbiome research, ecological data analysis, and machine learning Good
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compensation according to TV-L (including annual special payment) contribution to your company pension plan (VBL) on-site opportunities for health promotion How to apply and further information: We are looking
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transport Easy accessibility by public transport or car (including free parking) 30 days of vacation Participation in the benefits program for employees („Corporate Benefits“) The position is available for 3
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pension plan with VBLU Promotion of young researchers and attractive offers for scientific qualification Connection to the University of Bamberg, graduate schools Flexible working hours and opportunities
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in a state-of-the art, international research environment with excellent technical facilities Structured training within the LIV Graduate School, an interdisciplinary PhD program for all doctoral
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-related traits, and heterosis. In the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a