1,384 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" positions at Nature Careers
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, or comparable research experience, along with significant experience in machine learning, computer programming, computational biological applications. A strong background in statistics and biology. Experience
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interdisciplinary research community at the EPFL School of Life Sciences fosters interactions with allied disciplines on campus, including engineering, physics, chemistry and computer sciences. EPFL offers an English
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research groups within CCB (Learn more: Bioinformatics & AI ). Your Role We are seeking a skilled computational biologist to organize and deliver training on bioinformatics and AI for the CCB research
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with biomedical graduate training and research, as well as a vibrant Master's Degree and post-baccalaureate program. The successful candidate will be expected to teach in the medical curriculum and
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support, lectures by international experts, and annual PhD symposia. Make sure to see the DTU website to find out more: https://micro-path.uni.lu The Luxembourg Institute of Science and Technology (LIST) is
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1990, OSF Children’s Hospital of Illinois has more than 7,000 inpatient admissions, 75,000 outpatient specialty visits, 2,400 newborn deliveries, and 18,000 emergency department visits each year. Learn
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or machine learning, proficiency in deep learning techniques (CNN, VIT, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software
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will be payable upon successful completion of a contract. Further information about the Department is available at https://physics.hkust.edu.hk/ . Application Procedure Applicants should submit
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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/performance trade-offs and typical RAN levers; experience with energy metering data is a plus. • Strong background in AI / Machine Learning for decision-making (e.g., forecasting, optimization with learning