369 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Bournemouth-University" positions at Harvard University
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an individual with a PhD to conduct research in the area of biomedical informatics, multi-omic integratoin analytics and machine learning. In this role you will produce highly impactful biomedical informatics
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customer service orientation. Strong computer skills (Word, Excel, PowerPoint, Outlook, and internet) and willingness/ability to learn and adapt to new software and technologies. Experience with or knowledge
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
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potwashing/dish area, walls, floors and counters. Fills, empties, operates and performs regular maintenance on pot washing machine or manually washes pots as required. Monitors and records temperatures and
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potwashing/dish area, walls, floors and counters. Fills, empties, operates and performs regular maintenance on pot washing machine or manually washes pots as required. Monitors and records temperatures and
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with a desire to research and learn more about biomedical research, multi-omic integration analytics and machine learning. In this role you will produce highly impactful biomedical informatics research
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of public benefits, and generative AI-based tools. Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin
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modern spike sorting toolkits, machine learning or statistical modeling of neural data, and reproducible code practices (version control, documentation). · Background in neurodevelopmental
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Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
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generative AI-based tools. Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in