310 machine-learning "https:" "https:" "https:" "https:" "The Open University" research jobs at Nature Careers
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information, please contact Associate Professor Bettina Hjelm Clausen by email bclausen@health.sdu.dk , phone +45 65 50 48 31. Read more about the Department of Molecular Medicine at https://www.sdu.dk/en/om
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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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Nature Careers | The Connacht Hotel Formerly Carlton Hotel Galway, Connaught | Ireland | about 2 months ago
by Prof Gary Donohoe (https://research.universityofgalway.ie/en/persons/gary-donohoe/ ) and Prof Caroline Heary (https://research.universityofgalway.ie/en/persons/caroline-heary/ ). Information
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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational
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on-site gym, an employee pharmacy, and many others. To learn more about the unexpected perks of working at St. Jude, visit our website at https://www.stjude.org/jobs/hospital/talent-talks/10-unexpected
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Job Advertisement HKI-52/2025 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI): https://www.leibniz-hki.de/en/#, we research the pathobiology
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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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, 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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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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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