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Field
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
30 Jan 2026 Job Information Organisation/Company Leibniz-Institute for Food Systems Biology at the Technical University of Munich Research Field Biological sciences Computer science Researcher
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scientific or microscopy data is welcome but not required. Strong analytical skills, scientific creativity, and the ability to work independently while collaborating in a team environment. Our Offer: We work
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atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
30 Jan 2026 Job Information Organisation/Company Leibniz-Institute for Food Systems Biology at the Technical University of Munich Research Field Biological sciences Computer science Researcher
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expertise in comparative primate behavior, anatomy or genetics; quantitative and analytical skills; and relevance of research for human evolution, are expected. Extensive participation and / or experience in
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28.01.2026, Academic staff We are looking for a team lead with knowledge in electrochemistry that will lead our activities in RDE/RRDE and flow cell operation coupled to operando analytics, e.g. ICP
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. Requirements for employment are a completed PhD degree in a relevant field (computational linguistics, computer science, cognitive science, or similar), near native-level of spoken and written English, and
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related