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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
17 Sep 2025 Job Information Organisation/Company Carl von Ossietzky Universität Oldenburg Department Department of Neuroscience Research Field Neurosciences » Neurobiology Engineering Physics
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Looking for PhD StudentsWe are looking for people interested in joining the Software Lab as a PhD student. The Software Lab conducts research at the intersection of software engineering, programming
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can be directed to Prof Dr Tobias Ide (tobias.ide(at)prif.org ). * TV-H = Tarifvertrag für den Öffentlichen Dienst des Landes Hessen: Current Tariff Agreement for the German State of Hesse
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project; • two academic letters of reference Please check https://www.scripts-berlin.eu/birt/bgts/index.html for the exact specifications on the required documents, current updates on the application
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Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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center, CRC 1719 ChemPrint “Next-generation printed semiconductors: Atomic-level engineering via molecular surface chemistry”. Your tasks Develop new approaches for electrodeposition of metals
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Build and optimize workflows for analyzing biodiversity and entomological texts, focusing on functional traits, historical context, and geographic scope relevant to current environmental challenges
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput