174 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"Prof" PhD positions in United States
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seeking a Research Assistant Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic
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independently managing multiple tasks while ensuring attention to detail, accuracy, and quality results Strong project management skills Experience developing study materials Ability to self-motivate and work
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roof” interdisciplinary clinical-research center. We specialize in Parkinson’s disease, movement disorders, Alzheimer’s disease, ALS, Traumatic Brain Injury, Multiple Sclerosis, and related diseases
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CLIA certifications. They will oversee multiple large clinical trials, train team members on specialized experimental techniques, and assist in the writing of manuscripts and grant proposals
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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research with annual expenditures of more than $4.9 million in fiscal year 2024. Research activities are carried out in multiple research laboratories at the Department and at research centers in the College
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Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic characterization of deep-water habitats, GIS
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depending on the project and assigned research/scholarly functions, or other creative aspects. Preferred Qualifications Salary Commensurate with experience. Number of Vacancies Multiple Desired Start Date 09
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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position is funded by multiple NIH projects, e.g., https://tinyurl.co m/ysxhmujvThe overall goal is to : (1) develop inference and dynamic prediction models using a wide variety of data, including clinical