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field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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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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biology, computational fluency, and proven collaborative leadership are all absolutely required for this position. We have strong and long-standing alliances with the computational laboratories of Moritz
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Center, the Center for Systems Biology and the Center for Regenerative Therapies. Our institute also actively participates in the Cluster of Excellence 'Physics of Life' of the Technical University Dresden
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. The candidate should be able to work independently but should also have excellent teamwork skills. Applicants must hold a Ph.D. in biology, biochemistry, biotechnology, or a related field, and have published
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scientists. Applicants should hold a Master’s in biology or a related field as well as a PhD in this scientific area, with a track record of publications in peer-reviewed journals. Applicants should have
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: applicants should hold a PhD degree in quantitative science such like bioinformatics, physics, computer science or a comparable field proved outstanding skills in computer science, physics, mathematics, or a
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interdisciplinary teams (e.g., molecular biology, bioinformatics) to integrate electrophysiological findings into broader research on neuroendocrinology and metabolism. Prepare high-quality reports, manuscripts, and
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mass spectrometry and computational infrastructure. Work in Munich, one of the most liveable and vibrant cities in the world. Application Process To apply, please email your application as a single PDF