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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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of Livestock Systems is newly established at TUM and will include several postdocs, PhD students, and technical staff. The team will work on various topics, including multi-scale analyses of productivity
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endolysins from chloroplasts. In addition, the position involves the implementation of bioinformatic analyses for the identification of natural endolysins as well as the computational development and
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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qualifications: University degree (PhD, M.D., or equivalent) in biology, life sciences, or biomedicine Strong motivation and a genuine interest in stem cell biology, hematopoiesis, and immunobiology At least basic
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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Positions Application Deadline 28 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe
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at TUM and will include several postdocs, PhD students, and technical staff. The team will work on various topics, including multi-scale analyses of productivity, nutrient and water cycling in livestock
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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million patients receive inpatient and outpatient care at the UKB. Around 3,500 students study medicine and dentistry here, and over 600 people are trained annually in healthcare professions. With