Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Ludwig-Maximilians-Universität München •
- University of Oslo
- Aarhus University
- Monash University
- ; The University of Edinburgh
- Empa
- Technical University of Munich
- University of Münster •
- University of Nottingham
- University of Tübingen
- Western Norway University of Applied Sciences
- ;
- ; The University of Manchester
- ; University of Bristol
- ; University of Cambridge
- ; University of Reading
- ; University of Warwick
- Aalborg University
- Chalmers University of Technology
- DAAD
- Erasmus University Rotterdam
- Hannover Medical School •
- KINGS COLLEGE LONDON
- Leibniz
- Leipzig University •
- OsloMet
- Swinburne University of Technology
- Umeå University
- University of Adelaide
- University of Antwerp
- University of Cambridge
- University of Florida
- University of Groningen
- University of Konstanz •
- University of Lund
- University of Luxembourg
- University of Massachusetts
- University of Potsdam •
- University of Regensburg •
- University of Southern Denmark
- University of Stuttgart •
- University of Twente
- VIB
- 36 more »
- « less
-
Field
-
complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
-
logical coherence in the formulation of the aim and the research questions stringency of legal reasoning and analysis adequate selection of methods and theory capacity for creativity and innovation in
-
used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
-
financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable
-
to conduct high-quality research and develop the skills necessary for an academic or industry research career. This includes: Conducting original research in formal methods and automated planning
-
used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
-
. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
-
degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
-
live in. Your role This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources. Inorganic
-
methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications