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] Subject Area: Statistics and Machine Learning Appl Deadline: 2025/12/01 11:59PM (posted 2025/09/04, listed until 2026/02/01) Position Description: Apply Position Description The Department of Mathematics
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insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time
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of Pathology and Laboratory Medicine) (https://reedlab.dgsom.ucla.edu ), in collaboration with Dr. Joanna Schaenman (Division of Infectious Diseases) at the David Geffen School of Medicine (DGSOM) at UCLA, is
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salary of $60,000 and health benefits. The recipients will each teach one course per academic year, serve as informal mentors to graduate students in the field, and participate in the intellectual life
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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Associate will receive $70,000.00 in salary as well as a modest research budget and moving allowance. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will