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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 6 hours ago
Job Offer from November 28, 2025 We seek a PhD Student (m/f/d) to join our team at the Max Planck Institute for Biological Cybernetics in Tübingen (Germany), to explore mammalian brain function
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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Your Job: Development of automated workflows (Galaxy, CWL, or Nextflow) for QC (mzQC) and high-throughput analysis (identification, relative & absolute quantification) for lipidomics Implementation
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Platform as a substitute for maternity leave / parental leave. We are looking for a single cell and genomics specialist (m/f/d) with a proven track record in the use and maintenance of flow cytometer/cell
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cell and genomics specialist with a proven track record in the use and maintenance of flow cytometer/cell sorter instruments who is interested in working at the genomics facility. The successful
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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layers, using transport and optical techniques to measure the relevant properties. They will have the opportunity to work with two large-scale facilities which the research division is responsible
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the strategies of data organization and analysis. Qualification and skills Candidates should have good communication skills and motivation to familiarize themselves with new subject areas. The role requires both
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tasks Conducting feeding trials on functional feed with juvenile trout (Bremerhaven) RT-QPCR analysis of target genes, histology Presentation of research results Publication of results in international
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: Produce recombinant viral RNAP transcription complexes in insect cells Functionally characterise RNAP activity and validate assay systems Screen fragment libraries using fluorine-based NMR spectroscopy