Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- University of Tübingen
- CWI
- Chalmers University of Technology
- Ghent University
- Radix Trading LLC
- Technical University of Denmark
- The Ohio State University
- ; Technical University of Denmark
- Aarhus University
- Eindhoven University of Technology
- KU Leuven
- Leiden University
- Linköping University
- Max Planck Institute for the Study of Societies •
- Monash University
- NTNU - Norwegian University of Science and Technology
- The University of Iowa
- Universiteit van Amsterdam
- University of Graz
- University of Lethbridge
- University of Potsdam •
- University of Southern Denmark
- Universität Hamburg •
- Utrecht University
- Wageningen University & Research
- 18 more »
- « less
-
Field
-
academia and industry. Requirements The following qualifications are required: Solid knowledge in mathematics and statistics, in areas such as linear algebra, probability theory, machine learning, high
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
-
particularly valuable. Documented experience with machine learning and biostatistics is also highly meritorious.You can find information about education at postgraduate level, eligibility requirements and
-
Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
-
CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional Collaborative Research Centers (CRC-TRRs
-
observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
-
Profile Areas Cluster of Excellence CMFI Cluster of Excellence iFIT Cluster of Excellence Machine Learning CIN LEAD Graduate School & Research Network Collaborative Research Centers Transregional
-
, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and collaborations with experimental
-
at the single-cell level, using tools from optimal transport, mathematical optimization, and machine learning. In addition to method development, the work includes applying and benchmarking algorithms on both
-
(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model