Sort by
Refine Your Search
-
Listed
-
Employer
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Rutgers University
- Brookhaven National Laboratory
- Northeastern University
- Princeton University
- SUNY Polytechnic Institute
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Washington
- Cornell University
- Indiana University
- University of Houston
- University of Nebraska Medical Center
- University of Texas at Arlington
- University of Texas at Dallas
- University of Utah
- Argonne National Laboratory
- Axoniverse
- Baylor College of Medicine
- Broad Institute of MIT and Harvard
- Dartmouth College
- Hanyang University
- Loyola University
- Missouri University of Science and Technology
- North Carolina A&T State University
- The Rockefeller University
- The University of Iowa
- The University of North Carolina at Chapel Hill
- University of Arkansas
- University of California Berkeley
- University of California Riverside
- University of California, Berkeley
- University of California, Merced
- University of Colorado
- University of Maryland, Baltimore
- University of Virginia
- Washington University in St. Louis
- Zintellect
- 30 more »
- « less
-
Field
-
working under the supervision of Prof. Jaideep Vaidya (the PI and Director, I-DSLA) to develop and analyze privacy-preserving solutions for biomedical data research, implementing the developed algorithms
-
associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
-
to focus their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer
-
proper hazard controls and emergency. Requirements: Minimum Requirements: · PhD in a relevant field (e.g., Computer Science, Engineering, or related discipline) completed by the start date. · Experience
-
University) – Quantum Computation & Quantum Algorithms Prof. Pilkyung Moon (NYU Shanghai) – Graphene, Twistronics, Novel Topological Materials Website of our team https://sites.google.com/view/sm-cheon-group
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
-
methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
-
contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
-
-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a