Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of British Columbia
- University of Bergen
- University of Oslo
- Nanyang Technological University
- Northeastern University
- University of Michigan
- University of Texas Rio Grande Valley
- AbbVie
- CSIRO
- Harvard University
- Humboldt-Stiftung Foundation
- Johns Hopkins University
- King's College London
- Marquette University
- National University of Singapore
- Nature Careers
- SciLifeLab
- University of Birmingham
- University of Maryland, Baltimore
- University of Sheffield
- University of South-Eastern Norway
- University of Stavanger
- Western Norway University of Applied Sciences
- Zintellect
- 14 more »
- « less
-
Field
-
transportation operations and network modelling, accessibility analysis, data analysis (statistics and/or machine learning methods), and spatial mapping. Because the work will involve multiple years of daily
-
, UiO) and one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of
-
creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
-
opportunities for our trainees and researchers to freely explore creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view
-
description The PhD project aims to explore how multiple layers of gene expression regulation—including DNA packaging, transcription initiation, and translation—interact to control gene activity. Using
-
language models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex
-
related orthopaedic trauma. In particular, contemporary cell / molecular biology in vitro approaches as well as clinically relevant small and large animal models of orthopaedic trauma are utilized
-
developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate. Write, publish and disseminate results
-
models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems
-
in one or more of the following areas: algorithms, analytical derivation, data analysis, coding, or mathematical modeling. Strong programming skills are highly desired. The candidate should demonstrate