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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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PostDoc (with the option for a one-year extension), in the Computational Chemistry group at Boehringer Ingelheim, Biberach, Germany. For this PostDoc grant via opnMe , we invite you to submit your research
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Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
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Infection Biology (www.leibniz-hki.de I https://www.leibniz-hki.de/en/ ) have launched the SynThera initiative (www.synthera.eu ) funded by the Carl Zeiss Foundation, which aims to design, create, and deploy
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort
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, epigenetics, cardiovascular science, computational biology, or a related field A strong background in chromatin biology, gene regulation, and/ or cardiovascular biology Prior experience with genomics