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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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Strong command of behavior cloning, reinforcement learning, or related learning-based manipulation methods Proficiency in Python and modern deep learning frameworks (e.g., PyTorch) Proven ability
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sources (e.g., surveillance, programmatic, and commercial testing datasets) to develop implementation plans Mixed-methods research and intervention adaptation • Conduct qualitative data collection and
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-Investigator Professor Stephen Bullivant (St Mary’s Twickenham) to deliver the next phase of the Singing and the Human Spirit project. The postholder will undertake mixed-methods research exploring
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, or sustainability economics. • Strong knowledge and practical experience in Difference-in-Differences (DID) models and other causal inference methods. • Experience working with large socioeconomic
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uncertainty in the ocean environment affect ambient noise and acoustic propagation, translating that understanding into new models, methods and software tools to support applications in maritime sensing
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Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD), CDC. You will receive training in advanced molecular methods, next-generation sequencing (NGS), viral
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for simulation experiments and analyzing genomic sequencing data; (2), designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and
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of causal inference and methods to the implementation of established causal inference approaches to support public health and clinical decision making. The focus will be on HIV research. Application Details
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research environment through collaboration with colleagues and the supervision and mentoring of research assistants and students. The role provides an opportunity to apply advanced statistical methods