73 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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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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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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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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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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, 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
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paradigms, and computational modeling. More information about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Role: We are seeking a Research Technician (RT) to join our
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or translational research experience Knowledge of machine learning, Bayesian modeling, or statistical method development Ideal Personal Attributes: Independent, proactive, and scientifically curious Detail-oriented
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, biochemistry, cancer biology, immunology, tissue engineering, AI and machine learning. Applicants should be motivated to establish extramurally funded research programs targeted at biomedical science advances
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organizational skills, time management skills, and attention to detail. Proactive and self-motivated mindset with an eagerness to learn and grow Excellent computer skills with demonstrated proficiency in Microsoft