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turquoise killifish, applying methods from molecular biology, bioinformatics, biochemistry, histology, microscopy, genetic engineering, and behavioral testing. The project focuses on bioinformatics
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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(stephanie.stanelle-bertram(at)leibniz-liv.de ). Our Human Resources department will be happy to answer any questions you may have about the application process (jobs(at)leibniz-liv.de ). Would you like to shape
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about the application process, please contact our HR department (jobs(at)leibniz-liv.de ).
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status are given preferential treatment if they are suitably qualified. For more guidance on our application process, please visit our careers web page . Please submit your application with the relevant
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microtome Performance of functional assays and microscopic analyses for computer-assisted modeling of liver and heart metabolism Knowledge of pluripotent stem cell cultivation is desirable In
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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processes impact Earth system components and vice versa. For the project outline above we seek a motivated early career scientist not afraid to cross disciplinary boundaries to join our recently established