78 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" "U.S" research jobs at Indiana University
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• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: asmaa.elkenawi@cancerimmunometabolism.com Website: https
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Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation Basic Qualifications Qualifications: A Ph.D. in biomedical sciences or a related
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mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise during the position, including support
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data infrastructure. Indiana University is home to one of the largest medical schools in the U.S., with extensive collaborations across informatics, clinical departments, and health systems (IU Health
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of mathematics. Application Instructions Applicants should submit the following materials using the online service provided by the AMS at http://www.mathjobs.org . If unable to do so, applicants may send
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“Best Airport in North America” by Airports Council International for many years. For additional information on life in Indy: https://faculty.medicine.iu.edu/relocation IUSM is committed to being a
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. The appointment will initially be for one year, with the possibility of extension for up to an additional two years. More information about the group and the IU Physics Department can be found at: https
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research, evidence accumulation modeling, and computational cognitive science. The Luddy School of Informatics, Computing, and Engineering A top-tier program in computer vision, machine learning, and
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Biomedical Engineering & Informatics, and Associate Director for AI Research at the Center for Computational Biology and Bioinformatics. Dr. Duren’s research focuses on development of computational methods and
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: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines