181 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral research jobs at Nature Careers
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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in wireless communications and networking Background in AI and machine learning is an advantage. Experience and skills Knowledge of random-access protocols (e.g. IEEE 802.11 family). Understanding
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 7 days ago
for beta-cell research. For those interested, there is also an option to learn and use in vivo diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced
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in this collaborative project, with opportunities to travel to the USA; have access to state-of-the-art experimental capabilities; and have significant autonomy and opportunities for learning. We
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our team, you get the opportunity to use the latest algorithms in machine learning for improving
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, or organoid co-culture systems Computational/bioinformatics skills (e.g., R, Python, machine learning, or similar) are a strong plus. Salary and benefits Salary will follow the University of Pennsylvania FY26
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application deadline: 21 January 2026 at 23:59 hours local Danish time Please see the full call
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(https://www.physik.fu-berlin.de/en/forschung/dahlem-center-for-complex-quantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid state physics in its entire range