15 assistant-professor-computer-science-data-"https:"-"https:"-"Brunel-University-London" Fellowship positions at Indiana University
Sort by
Refine Your Search
-
Listed
-
Field
-
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
-
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
-
Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
-
assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
-
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
-
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
-
in Nature Cell Biology, Developmental Cell, Development, Genome Biology, Nature Communications, Nature, etc. Additional information of the lab could be obtained from the website: hSps://medicine
-
Biology – enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more information about the
-
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
-
signal processing and both time-series and frequency domain analysis of physiological recordings including ECG and nerve recordings. This data is used to investigate the cardiovascular effects of altered