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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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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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of materials science, biotechnology, microbiology, bioinformatics, life sciences, engineering, or a comparable field Salary group 13 TVöD Temporary contract until 30.09.2028 Full-time / suitable as part-time
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 12 days ago
members generating physiological, imaging, and experimental data to integrate findings across cellular, molecular, and functional levels. Your Profile Ph.D. in molecular biology, bioinformatics, systems
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26142 Postdoctoral fellow in Bioinformatics (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
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analysis: Proven skills in the systematic analysis and interpretation of complex multi-omic datasets, ideally complemented by bioinformatics approaches, are welcome. Strong interpersonal and communication
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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datasets, ideally complemented by bioinformatics approaches, are welcome. Strong interpersonal and communication skills: You bring excellent interpersonal abilities that enable effective collaboration in a
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in a dry lab setting and will involve analyzing newly generated and publicly available genomic datasets. We will use both in-house and published bioinformatic tools, including phylogenetics and methods