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patients, canine patients, and mouse and organoid models -- offering a unique opportunity to identify conserved genomic features and accelerate biological insight. Duties include*: Prioritize and extract
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a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer
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or equivalent Skills/Qualifications Technical Skills: Programming and integration of machine learning algorithms, reinforcement learning and symbolic planning in real robotic platforms. User modeling techniques
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of campus and community resources; knowledge of disability models and theories and inclusive educational design; demonstrated presentation skills; working knowledge of common computer applications (e.g. word
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challenges to global public health. Learn more about MET and their research here: https://www.hsph.harvard.edu/molecular-metabolism/ We are seeking a Research Assistant to support the Mair Lab which
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | 11 days ago
be part of a project at the intersection of protein engineering, evolution, and machine learning, which is part of HHMI’s AI for Science Initiative (ai.hhmi.org ). Our goal is to integrate
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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highly collaborative research team to accelerate and extend ongoing research efforts (including DL-based joint species distribution modeling and causal machine learning) and lead methods development
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focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches