Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- University of Bergen
- Carnegie Mellon University
- University of South-Eastern Norway
- Harvard University
- Simons Foundation
- University of British Columbia
- University of Cincinnati
- ;
- Simons Foundation/Flatiron Institute
- University of Waterloo
- Institut national de la recherche scientifique (INRS)
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- National University of Singapore
- Northeastern University
- Swansea University
- The Ohio State University
- UiT The Arctic University of Norway
- University of Agder
- University of Ljubljana
- University of New South Wales
- University of Stirling
- Western Norway University of Applied Sciences
- 13 more »
- « less
-
Field
-
advantage: Developing algorithms for CFD solvers (e.g. OpenFOAM). Programming in C++ or Fortran and proficiency with MATLAB or Python scripting. Experience with tools for simulating chemical kinetic, e.g
-
technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
-
both the ATLAST telescope and the nearby community of San Pedro de Atacama. The PhD candidate will have the unique opportunity to shape the renewable energy management system by developing novel real
-
algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software
-
. To explore and investigate this topic, the project will combine formal methods, programming language theory and semantic technologies, aiming to develop systematic techniques for handling protected data
-
The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
-
scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
-
particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
-
logistics. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including
-
formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered