Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nature Careers
- Johns Hopkins University
- The University of British Columbia (UBC)
- UiT The Arctic University of Norway
- Cornell University
- Harvard University
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- UNIVERSITATEA DE MEDICINA SI FARMACIE IULIU HATIEGANU
- University of Michigan
- University of Stavanger
- AbbVie
- Barcelona Beta Brain Research Center
- Dana-Farber Cancer Institute
- INSTITUT D'INVESTIGACIO SANITARIA PERE VIRGILI
- Indiana University
- King Abdullah University of Science and Technology
- Montana State University
- National University of Singapore
- New York University
- Northeastern University
- Princeton University
- Rutgers University
- SUNY University at Buffalo
- Simula Research Laboratory
- Simula UiB
- Singapore University of Technology & Design
- The University of Memphis
- University of Bergen
- University of California, San Diego
- University of Illinois at Springfield
- University of Kansas Medical Center
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Rhode Island
- Université Gustave Eiffel
- Vanderbilt University
- Vrije Universiteit Brussel
- Łukasiewicz PORT
- 30 more »
- « less
-
Field
-
clinical approaches, including: Histopathology and digital pathology (whole-slide imaging, WSI) Quantitative analysis of the tumour immune microenvironment AI-based image analysis, machine learning and deep
-
Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
-
simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical
-
by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
-
the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the
-
samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
-
interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected
-
and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as
-
fluid dynamics. The successful candidate will be expected to work on all or a subset of the above topics, be proficient in working with large data-sets (observational or numerical), machine learning, and
-
recently funded centre of excellence (Integreat). Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community, including many PhDs and PostDocs