73 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Harvard University
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astrophysics, exotic core-collapse supernovae, and machine learning methods for time series analysis. A PhD in Physics, Astronomy, or a closely related field is required. The position will entail work on a
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, and AI/machine learning would be helpful for the role. Experience with participant recruitment and retention as well as clinical human subject studies is a plus. Special Instructions Application
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health, health policy, data, machine learning, statistics
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such as: Causal inference and the design and analysis of experiments Reinforcement learning and sequential decision-making Analysis of complex systems, networks, and large-scale data Machine learning
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project areas: Building and integrating software Community building and outreach Usability and UX Writing math proofs Machine learning and differential privacy Privacy, ethics, policy, and responsible use
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of at least some of the following: – Extensive independent research experience – Creativity and independence – Experience analyzing hyperspectral data and developing machine learning models - Genetic
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protocols, which involves conducting literature reviews and eliciting required data elements Understanding of and experience with quantitative methods (simulation modeling, optimization, and machine learning
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date to be determined. Basic Qualifications A PhD related to programming languages by the start date. Experience in machine learning and formal verification. Individuals with a demonstrated track record
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Bioinformatics / big data , Biological Data , data science , Interdisciplinary Cellular and Molecular Biology / Cellular and Molecular Biology , RNA Biology Computer Engineering / Cloud Computing
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for opportunities abroad. These grants present an excellent opportunity for recently minted scholars to deepen their expertise, to acquire new skills, to work with additional resources, and to make connections with