73 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Nature Careers in United States
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implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com
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hosts small and large watercrafts, a dive shop, machine shop, and instrument shop (https://uncw.edu/cms/). College/School Information: The College of Science and Engineering offers a variety of programs
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applications for a Tenure Track (TT) position in the area of physics, with a specialization in the development and implementation of techniques of Artificial Intelligence (AI) and Machine Learning (ML) across
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cluster, running seawater systems and wet labs, a marine operations facility that includes six shops (dive, oceanographic instrumentation with a 7,000 gallon seawater test tank, machine shop/makerspace
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must have a research program with a strong record of peer-reviewed publication using advanced computational methods (such as computational modeling, machine learning, AI, or algorithm development
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Machine Learning. Our mission is to connect that wide umbrella of backgrounds to reimagine cancer treatment strategies. In this position, you will be working alongside an experienced chemical biologist
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the HNSCC team, including Taran Gujral (machine learning-enabled drug screening), Slobodan Beronja (mouse models of HNSCC), and Patrick Paddison (functional genomics). This work will encompass a broad array
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limited to) molecular and cellular imaging, synthetic biology and computational and machine learning approaches. The predominant criteria for appointment in the University Tenure Line are a major commitment
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Professor, or Full Professor) in the area of data science and artificial intelligence for materials design and innovation. We seek candidates whose research focuses on the development of machine learning
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cloning, managing repositories, branching, and implementing collaborative and reproducible data analysis workflows. Experience in applying machine learning or AI approaches to genomics data (e.g. BLUP