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System (W-0046 | all genders) with the freedom to develop and pursue your own research program within a broad scope. As a successful candidate, you will become an integral part of the Multiscale Cloud
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research group study the genetic and epigenetic changes that drive the development of hematological malignancies by employing cutting-edge multi-omics approaches. The successful candidate will join a dynamic
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care, research, and teaching. If you want to be part of a dynamic and inspiring environment where your ideas and commitment are valued, then you are in the right place with us. Apply easily by August
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We offer: The successful candidate will be hosted in the junior research group Metabolomics-guided Natural Product Discovery and be part of a young and dynamic team. The Leibniz-HKI is embedded in
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researcher to join our dynamic team. Our group is embedded in a broader institutional strategy with a strong interest in cell and immune therapy. We study the bidirectional interac-tions between tumor cells
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics Group at the TUM School of Life Sciences, Technical University of Munich studies how ecosystems change in time and space. We quantify
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, R/Python) is welcome We offer: A dynamic, interdisciplinary service platform environment embedded in Germany’s leading Life-Science campus Access to cutting-edge instrumentation (timsTOF fleX MALDI-2
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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contribute to practical supervisory implementation Your Profile: Enrolment in a Ph.D. programme or Ph.D degree or Masters with 3-4 years of relevant professional experience in Economics, Sustainable Finance
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have