74 phd-machine-learning-"UCL"-"UCL" Postdoctoral positions at University of Washington
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or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques. The candidate’s day will be split between benchwork to generate data, and computer work to generate
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The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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at their place of work on University property to fulfill their appointment duties. Qualifications Minimum Qualifications Candidates must have completed a PhD in some area of marine sciences by the start date
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securing research funding. University of Washington faculty engage in teaching, research/scholarship and service. Qualifications PhD or foreign equivalent in chemistry (e.g., analytical or applied chemistry
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. Skills: Not Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: PhD in immunology, molecular biology, or microbiology, or a
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parcellation (Glasser et al., 2016 Nature). The post-doc will be co-mentored by Matthew F. Glasser MD/PhD and David C. Van Essen PhD and be based in the Glasser/Van Essen laboratory in the WashU Radiology
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morphology (e.g., geometric morphometrics, machine learning), and phylogenetic comparative approaches. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
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PhD in Psychology or a related field. Expertise with developing and conducting lab, web-based and/or archival psychology studies. Demonstrated ability to complete projects, as evidenced by quantity and