17 professor-computer-science-"https:"-"https:" Fellowship positions at Indiana University
Sort by
Refine Your Search
-
Listed
-
Field
-
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
-
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
-
assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
-
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
-
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
-
: 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
-
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
-
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
-
Posting Details Position Details Title Postdoctoral Fellow in Pediatrics Specific Title Postdoctoral Fellow in RNA Biology, Human Stem Cells and Cardiovascular Research Appointment Type Postdoctoral
-
Bioinformatics and computational biology for multi-omics integration and biomarker discovery. High-dimensional data analysis from targeted arrays and imaging platforms. Coordination of biological sample pipelines