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Field
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has a permanent staff of 35 academics in addition to 6 support staff. The school comprises the disciplines of Mathematics, Applied Mathematics, and Statistics, each led by a Chair in the discipline. Its
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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environment that fosters a culture of inclusivity and teamwork. - Engage in ongoing academic and intellectual life within CALS and Cornell University. Requirements • PhD in ecology, quantitative ecology
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. Ability to work in multi-disciplinary teams. Minimum Qualifications PhD in Biogeomechanics, sustainable construction materials, or related fields upon hire. Preferred Qualifications FLSA Exempt Full Time
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base, the partnership will bring together the University of Oxford’s expertise in statistics, mathematics, engineering and AI with industry scientists. Within the partnership, small research teams will
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and maintenance Participate in team meetings and present research findings to internal and external stakeholders Minimum Qualifications PhD in Chemical Engineering, Materials Science, Electrochemistry
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. Minimum Education and Experience: PhD degree in biomedical engineering, neuroscience, cognitive science or a closely related field required. Experience in collecting and analyzing data Solid background in
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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. Qualifications: Required: PhD in Materials Science or Engineering, Manufacturing Engineering, Mechanical Engineering, Civil Engineering, Structural Engineering, Chemical Engineering or a related discipline
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Responsibilities Minimum Qualifications Preferences The position is for a highly motivated individual with 0 to 2 years of postdoctoral experience. Candidates should hold a PhD and demonstrate a strong background in