Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cornell University
- University of North Carolina at Chapel Hill
- University of Utah
- Aarhus University
- Rutgers University
- SUNY Polytechnic Institute
- University of Texas at Dallas
- University of Washington
- CNRS
- Georgia Institute of Technology
- Institute of Hematology and Center for Hemato-Oncology Research
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- Universidade do Algarve
- University of Maryland, Baltimore
- University of Texas at Arlington
- 7 more »
- « less
-
Field
-
interactions, nuclear structure and reactions, electroweak structure, and lepton-nucleus scattering. The candidate will contribute to advancing statistical and computational algorithms to extend the capabilities
-
, fined tuned for zooming in on machine spatial reasoning, is within the scope of this project. Developing efficient algorithms for converting computer simulations of a system in a complex environment (e.g
-
limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
-
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
-
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
-
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
-
Full-time Hours Per Week 35 Offer Starting Date 30 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Aviso n.º 1742/2026/2 | OE202601
-
of computer science fundamentals including algorithms, data structures, and object-oriented programming. Proficiency in C/C++ or similar language Working with large codebases Containerization (Docker) and building
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
University to support outstanding research. We will foster programs in the areas of basic, translational, mechanistic, and population research. Position Summary The Carmichael lab (https://idc9.github.io/) is