274 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" Postdoctoral research jobs at Nature Careers
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state-of-the-art scientific equipment (laboratories, etc.) Freedom to pursue your own innovative ideas in research and development Good work-life-balance (option of mobile working, flexible working hours
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). Based on these insights, we now want to understand how nutrient set points are regulated across a wider range of physiological states including development, what the underlying logic of these adjustments
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software development for astronomy-related projects, preferably in data flow systems or data reduction pipelines. Experience with the ESO DFS software stack, such as EDPS, EsoRex, CPL, etc. A PhD / Doctoral
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discovery programs. Your key responsibilities will be to: design and execute wet‑lab experiments supporting neurological therapeutic development perform molecular biology and cloning, including construction
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cutting-edge methods. Excellent career development opportunities are available within a dynamic, interdisciplinary, and highly collaborative research ecosystem spanning LMU Klinikum, LMU, the SyNergy
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collaborations with industrial partners as well as national and international academic initiatives. These projects span the full research and development lifecycle, requiring large-scale experimentation, real-time
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pathology and therapeutic response. The candidate will be responsible for data harmonization, multi-omics integration, and development of network-based models. In addition to analyzing these models
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models to guide safer and more effective, individualized steroid use. As such, the candidate will be responsible for data harmonization, multi-omics integration as well as the development of machine
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international environment, and actively shape interdisciplinary theory on sustainable transformations and well-being. The successful candidate will join the Institute for Lifespan Development, Family and Culture
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that methodological advances are developed with direct translational and scalability considerations. Responsabilities: Lead the development of hybrid foundation model-graph neural network architectures for gene