155 machine-learning "https:" "https:" "https:" "https:" "https:" positions at Nature Careers
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experience in AI teaching We understand AI very broadly – and adequate experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past
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for therapeutic gain. Specific areas of interest include, but are not limited to: • Machine learning applied to immunological challenges, such as modeling immune responses, antigen specificity, or cellular
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to this search are candidates with expertise ranging from NeuroAI, machine learning, and artificial intelligence to brain-body interactions, including cancer neuro and neurodegenerative disorders, and systems and
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meet the specialized behavioral demands of different animals. More information about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We
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Molecular Biology, University of Southern Denmark, Odense, Denmark The position is for 3 years and is available from February 1, 2026. Role and Responsibilities Use protein design concepts and deep-learning
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tissue specimens Assemble analysis pipelines using machine learning to process tissue data reproducibly and at scale Conduct analyses using programming languages such as R and Python Collaborate with other
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, Biological Anthropology, Artificial Intelligence, Neurophilosophy, Neuroaesthetics,etc.) ○ Brain disorders(Psychiatry, Neurology, Rehabilitation Medicine, etc.) ○ Brain Engineering(Brain-machine interface
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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, solar cells and novel optical materials 8) Renewable energy solutions, novel batteries, carbon neutrality approaches 9) Computational chemistry, theoretical chemistry, machine learning, artificial
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, high-reward science, including lab space at Arc Headquarters in Palo Alto. Candidates who aspire to groundbreaking research in computational science/machine learning, chemical biology, human genetics