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                Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance computing clusters Sahu Lab Dr 
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                to the interdisciplinary framework and close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not required. We Offer Excellent 
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                . At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model 
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                Investigators at AITHYRA, bridging expertise in machine learning, computational biology, structural systems virology, and chemical biology. Access to high-performance compute infrastructure and expert 
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                1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate gene regulatory 
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                Postdoctoral Researchers – Biochar, Syngas, Green Hydrogen & Net-Zero Heat Systems Specialization: Advanced Electrochemistry, Integrated Spectroscopy & Net-Zero Applications Locations: IAAM Net 
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                positions limited to 3 + 1 years, part-time 65 % 5 postdoctoral positions full-timelimited to 2 years one open level doctoral or postdoctoral position with wet-lab or computational focus Remuneration is 
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                , superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute 
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                functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience collaborating 
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                division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume