Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Oslo
- CNRS
- Umeå University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Aalborg University
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- Forschungszentrum Jülich
- Linköping University
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Northeastern University London
- Queensland University of Technology
- SciLifeLab
- Umeå universitet
- University of Delaware
- University of Limerick;
- University of Luxembourg
- 7 more »
- « less
-
Field
-
risk scores. We are particularly interested in candidates with experience in the following areas: human genomics and statistical genetics bioinformatics and computational biology multi-omic data analysis
-
Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
-
University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D
-
to improve conservation program delivery through behavioral science. This is a rare opportunity to help establish one of the first embedded behavioral science programs within USDA conservation delivery while
-
science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
-
14 Sep 2026 Job Information Organisation/Company University of Oslo Research Field Medical sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 Oct
-
12 Sep 2026 Job Information Organisation/Company Umeå universitet Department Umeå School of Business, Economics and Statistics, Umeå University Research Field Mathematics » Statistics Researcher
-
to two PhD students in Statistics for the research project “Next-Generation Latent Variable Models for Social Data Science”. Application deadline: November 4, 2026. We are seeking one to two PhD students
-
-dimensional data. Develop modular methods that incorporate domain-specific information into latent-variable models. Investigate methodological questions related to computation, identifiability, uncertainty
-
biological (multi-view) high-dimensional data. Develop modular methods that incorporate domain-specific information into latent-variable models. Investigate methodological questions related to computation