Sort by
Refine Your Search
-
the development of therapeutic strategies to promote neurological recovery. The successful candidate will use a combination of in vivo and in vitro approaches, including animal models, molecular and
-
stochastic accumulation. The position will be jointly mentored by Dr. Tim Pleskac and Dr. Jerome Busemeyer, with the postdoc taking a leading role in theory development, computational modeling, and
-
the development of therapeutic strategies to promote neurological recovery. The successful candidate will use a combination of in vivo and in vitro approaches, including animal models, molecular and
-
subject to satisfactory performance and the availability of funding. The start date is flexible and may be arranged by mutual agreement. The position is intended for a researcher interested in developing
-
working on the LHCb experiment at the Large Hadron Collider. The successful candidate will focus on developing LHCb’s real-time data analysis systems, including the GPU-based software trigger. This work
-
(e.g., publications, dissertation work) Strong written and oral communication skills Preferred: Experience with C. elegans or other model organisms Experience with high-throughput data analysis (e.g
-
Posting Details Position Details Title Postdoctoral Scholar Appointment Status Non-Tenure Track Department IU Indianapolis Office of the Vice Chancellor for Research Location Indianapolis Position
-
of the project can be found here: https://www.nsf.gov/awardsearch/show-award/?AWD_ID=2338135 The Postdoctoral Researcher will be mentored by Dr. Andrea Stevens Goddard and will work with a collaborative research
-
The postdoctoral fellow is expected to spearhead research projects, from conceptualization (in collaboration with the PI) to design, data collection, analysis, and dissemination. Undergraduate research assistants
-
at Indiana University is seeking applicants for a post-doctoral position. Our DOE-funded efforts include leading roles NOvA operations and data analysis and DUNE construction and data analysis