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Computational Biology, Machine Learning and Deep Learning for Computational Biology, Computer Science, Applied Physics and Mathematics, or a related field. - Strong background in protein modeling, structural
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy
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adherence to safety protocols within the laboratory. Other Duties as Assigned 5% Qualifications Knowledge & Abilities Deep knowledge in a specific research area. Proficiency in qualitative, quantitative
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM
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the impact of two highly controlled, short-term lifestyle interventions. Through these interventions, the project seeks to achieve deep phenotyping related to insulin resistance, advancing our understanding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the ability to design and implement novel artificial intelligence algorithms. Examples of research directions could include: multimodal foundational models for biomedical data, deep-learning architectures
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Your profile The successful candidate will pursue a second book / "Habilitation" research project, teach courses, contribute to the Department's profile areas "Premodern History" and "History
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic
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technologies for deep molecular insights. Additionally, you will present your findings at national and international conferences, mentor junior researchers in the lab, and contribute to high-impact publications