17 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" Fellowship positions at Indiana University
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Doctoral degree is required. Applicants should have a Ph.D. degree or equivalent in biomedical sciences. Department Contact for Questions Dr. Eri Hashino(ehashino@iu.edu ) Ruth C. Holton Professor and Vice
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participating in lab meetings and discussions. Education and experience required: Ph.D. in computational biology, bioinformatics, computer science, or a related field. Demonstrated experience leading
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: https://faculty.medicine.iu.edu/relocation . The search will continue until the positions are filled. Basic Qualifications Required Qualifications: Ph.D. (by start date) in Computer Science, Biomedical
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
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of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
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or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research
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Posting Details Position Details Title Postdoctoral Fellow in Inner-Ear Biology Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Otolaryngology-Head & Neck Surgery Campus IU
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biospecimen collections, including pancreatic tissue, cyst fluid, and serum samples from a large clinical biobank. Perform proteomic and molecular profiling to identify and validate biomarkers associated with
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photoreceptors in marine Synechococcus using CRISPR and protein biochemistry approaches. This project is funded by the NSF Systems and Synthetic Biology Program and builds on our successful initial studies of Type
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, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and