Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Aarhus University
- Argonne
- AbbVie
- Duke University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- University of Houston Central Campus
- Durham University
- University of Groningen
- University of Oxford
- University of Texas at Austin
- ;
- European Space Agency
- Heriot Watt University
- MASARYK UNIVERSITY
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mälardalen University
- New York University
- Oak Ridge National Laboratory
- Stanford University
- THE UNIVERSITY OF HONG KONG
- University of British Columbia
- University of California Berkeley
- University of Copenhagen
- University of Massachusetts
- University of Minnesota
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Oregon
- University of Southern Denmark
- University of Zurich Blockchain Center
- Utrecht University
- Virginia Tech
- 25 more »
- « less
-
Field
-
available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
-
, statistics, economics, biology, physics, or any other quantitative science. Knowledge of/or strong interest in population studies and formal demographic methods Experience in statistical analysis, and/or
-
(SUSTAIN) research unit, the LCSA group aims to support industry, policy, and society by developing science-based, sustainability methods and computational tools for life cycle sustainability assessment
-
and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
-
knowledge graph models of such transformations that are self-describing when applied to existing map repositories, and can be scaled up to large data repositories using state-of-the-art AI methods. In
-
support the CPP research, grant applications, and outreach. During the academic year the fellow will teach one or two courses. Position Qualifications: Required: PhD in Public Policy, Political Science
-
skills, and an excellent command of written and spoken English and Chinese are essential (knowledge of spoken Cantonese would be an advantage). A strong background on quantitative research methods and
-
essentially new methods to automatically verify cyber-physical systems. Because none of the existing methods and tools for the formal verification of cyber-physical systems are fully automatic, these methods
-
contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
-
presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal