Sort by
Refine Your Search
-
Listed
-
Employer
- University of Michigan
- Harvard University
- Northeastern University
- University of Cincinnati
- University of Michigan - Ann Arbor
- Indiana University
- University of Maryland, Baltimore
- AbbVie
- Genentech
- Princeton University
- Boston College
- Brookhaven Lab
- Carnegie Mellon University
- George Mason University
- Nature Careers
- Rice University
- Simons Foundation/Flatiron Institute
- University of California
- University of Michigan - Flint
- University of Texas Rio Grande Valley
- University of Texas at Austin
- 11 more »
- « less
-
Field
-
strategies that modulate the crosstalk between tumor and immune cells, and develop new image-based screening technologies to identify targets that mediate clinically-relevant cell-cell interactions
-
. in neuroscience, pharmacology, chemistry, molecular imaging, biomedical engineering, or a closely related field. Familiarity with neuroreceptor and/or neuroimmune biology. Excellent written and oral
-
years of research experience in biology or a related discipline. Publication record demonstrating computational skills in image processing or genomic data analysis. Proficiency in rodent neurosurgeries
-
candidates] Design and develop prototype and testbed systems that will be deployed to community partners and stakeholders. All candidates will be expected to support the evaluation and assessment of deployed
-
, process or discipline. May require experience with specialized software programs such as Matlab, image J, Imaris, etc. Additional Qualifications Considered The work environment is the laboratory. Physical
-
Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
-
and their home countries. Job Overview The University of Cincinnati, College of Engineering and Applied Science invites applications for a Postdoctoral Research Fellow position in biomedical imaging
-
landscape design to influence global climate-system dynamics. Martin Bechthold, Material Processes and Systems (MaP+S) Group: The MaP+S Group advances knowledge about design materials through a combination of
-
part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
-
language models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex