64 parallel-computing-numerical-methods positions at Indiana University in Postdoctoral
-
program in environmental genomics. The postdoctoral researcher will have flexibility to define their own research agenda, but a successful candidate will be broadly interested in contributing to projects
-
strongly preferred. Candidates should be proficient in micro-computed tomography (micro-CT) imaging and analysis. Experience performing mouse surgery is preferred. A demonstrated publication record and
-
molecular cloning, CRISPR, or genetic circuit design Experience with flow cytometry, confocal microscopy, or in vivo imaging (bioluminescence, fluorescence) Computational skills for data analysis, signal
-
to the research program. Supervision and Professional Development The postdoctoral fellow will work under the supervision of the principal investigator and will receive mentoring in experimental design, data
-
new theoretical and computational approaches to the strong interaction. Possible directions include the extraction and interpretation of hadronic observables in few-body and multichannel scattering
-
interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
-
of funding. The start date is flexible and may be arranged by mutual agreement. The position is intended for a researcher interested in developing new theoretical and computational approaches to the strong
-
Specialist for a National Institutes of Health (NIH) funded fellowship in public and population health informatics. This unique post-doctoral program is located on Indiana University’s Indianapolis campus
-
/Criminal Justice, Psychological and Brain Sciences, as well as those in Anthropology with a focus on Human Biology. The CRRES postdoctoral fellowship program aims to create a legacy of scholars who will be
-
bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages