Sort by
Refine Your Search
-
in NLR’s Computational Science Center has an immediate opening for a Postdoctoral Researcher to pursue a cross-disciplinary research project in statistical modeling with an emphasis o n combining
-
. Qualifications: Required Education Appropriate PhD Preferred Qualifications PhD, Computational Biology, Bioinformatics, Computer Science Training in statistics, and programming experience in a UNIX/Linux
-
. Qualifications: Required Education Appropriate PhD Preferred Qualifications PhD, Computational Biology, Bioinformatics, Computer Science Training in statistics, and programming experience in a UNIX/Linux
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
reason why Carolina is one of the leading public research institutions in the country. UNC -Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and
-
month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Ph.D. in any quantitative science (Computer science, Statistics, Bioinformatics, Physics or similar fields) or
-
will address how agents fuse heterogeneous sensory streams, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty
-
DSI’s research initiatives and projects. Data Science Background: Experience or coursework in computer science, statistics, data science, AI, or a related field. Impact: Applicant’s research evinces
-
institution in a field appropriate to the assigned duties and responsibilities such as. Computational Neuroscience, Neuroscience, Applied Mathematics, Statistics/Biostatistics, Computer Science
-
bioinformatics, computational biology, statistics, computer science, or related field Proficiency in R or Python Minimum of two years of experience in computational biology or cancer genomics Experience
-
Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk