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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 2 months ago
the following requirements: A Master’s degree (or equivalent) in biomedical sciences e.g., Microbiology, Immunology, Biochemistry, Chemistry, Bioinformatics, Physics, Pharmacy etc. and an ambitious and
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bioinformatics and modelling. Detailed information on the research groups available for supervising PhD projects in the current application call can be found on the website of the IMPRS MolPlant. Our Offer — We
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(plant defenses), microbiology, microbial ecology, molecular biology, bioinformatics/genomics and chemical ecology · You are a team player, a problem solver, and possess a critical mind · You
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or similar) Strong interest in human genetics, bioinformatics, research and development in a translational setting Previous experience in molecular biology techniques (such as PCR, sequencing, cell
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, Molecular Biology, Biomedicine, (Bio-) Chemistry or similar) Strong interest in human genetics, microscopy and imaging analysis, and bioinformatics Previous experience with molecular biology techniques
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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and
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collaborative environment, the project leverages expertise in forestry, genomics, bioinformatics, AI, and data management, providing hands-on experience in field sampling, lab work, and computational analysis
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Profile Completed Master’s degree in Biology, Biotechnology, Bioinformatics, Immunology, or a related field Strong interest in computational science and AI (prior formal training is not required, but a
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neuronal differentiation (preferred)Experience with cellular phenotyping, including lysosomal and/or mitochondrial profiling (advantage)Programming skills in R and/or PythonFamiliarity with bioinformatic
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viral vectors, CRISPR-based tools and pharmacological approaches. -Perform bioinformatic analysis and integration of transcriptomic, epigenomic and epitranscriptomic datasets. -Prepare scientific reports