54 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "P" research jobs at University of Utah
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for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD or MD‑PhD in a relevant field (e.g
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study job? No VP Area Academic Affairs Department 00065 - Elect & Computer Engineering Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 15.00 to 17.00 Close Date
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multidimensional area- and place-based data. First, the Midlife in the United States (MIDUS) study includes three waves of rich psychosocial and health assessments from 1995 through 2014 and more than twenty years
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multidimensional area- and place-based data. First, the Midlife in the United States (MIDUS) study includes three waves of rich psychosocial and health assessments from 1995 through 2014 and more than twenty years
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/epifluorescence imaging, and basic image analysis. The role involves tissue processing and data collection across multiple projects, collaborating closely with students, postdocs, and senior lab members. Strong
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program, ability to lead a group, ability to communicate clearly and problem solve challenges to engagement and motivation Special Instructions Summary Additional Information The University is a
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information about the University of Utah College of Nursing, https://nursing.utah.edu/ . Eligibility Requirements: · Ph.D. or equivalent doctoral degree in Nursing from an accredited domestic or foreign
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information about the University of Utah College of Nursing, https://nursing.utah.edu/ . Eligibility Requirements: · Ph.D. or equivalent doctoral degree in Nursing from an accredited domestic or foreign
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Researcher to oversee research activities in the lab starting May 2026. The lab’s focus is on mechanisms of visual perception and cortical computations of sensory information. Our interests include the role
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cancer Energy balance and adipose tissue in cancer progression Our research includes transdisciplinary approaches to colorectal cancer prognosis, utilizing health behavior information, measures of energy