Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- DAAD
- SciLifeLab
- Susquehanna International Group
- Curtin University
- Technical University of Denmark
- Umeå University
- Utrecht University
- University of Groningen
- University of Utah
- Leibniz
- Linköping University
- Monash University
- Technical University of Munich
- Wageningen University and Research Center
- Chalmers University of Technology
- NTNU - Norwegian University of Science and Technology
- Swedish University of Agricultural Sciences
- University of Oslo
- ; University of Nottingham
- ; University of Warwick
- Cranfield University
- Erasmus University Rotterdam
- Ludwig-Maximilians-Universität München •
- MASARYK UNIVERSITY
- RMIT University
- The University of Chicago
- University of Göttingen •
- University of Nottingham
- University of Southern Denmark
- ; Newcastle University
- Abertay University
- Duke University
- Forschungszentrum Jülich
- OsloMet
- University of California, Berkeley
- Østfold University College
- ; Swansea University
- ; University of Bristol
- ; University of Oxford
- Carnegie Mellon University
- Ghent University
- Humboldt-Universität zu Berlin •
- Institut Pasteur
- Johns Hopkins University
- Kaiyuan International Mathematical Sciences Institute
- Luxembourg Institute of Socio-Economic Research (LISER)
- Max Planck Institute for Biogeochemistry, Jena
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- Radix Trading LLC
- The Ohio State University
- The University of Iowa
- Trinity College Dublin
- UiT The Arctic University of Norway
- Universiteit van Amsterdam
- University of Alaska
- University of Antwerp
- University of Bonn •
- University of British Columbia
- University of Cambridge
- University of Liverpool
- University of Manchester
- University of Newcastle
- University of Oxford
- University of Twente
- University of Tübingen
- VIB
- Wayne State University
- ; St George's, University of London
- ; UCL
- ; University of Birmingham
- ; University of Exeter
- ; University of Limerick
- ; University of Reading
- ; University of Stirling
- ; University of Sussex
- Aarhus University
- Ariel University
- Arizona State University
- Carl von Ossietzky University of Oldenburg •
- Columbia University
- FAU Erlangen-Nürnberg •
- Fraunhofer-Gesellschaft
- Hannover Medical School •
- Helmholtz Centre for Environmental Research - UFZ •
- Helmholtz-Zentrum Geesthacht
- Indiana University
- Jönköping University
- Leiden University
- Leipzig University •
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institutes
- McGill University
- Murdoch University
- NHH Norwegian School of Economics
- Norwegian Meteorological Institute
- Pennsylvania State University
- Purdue University
- 90 more »
- « less
-
Field
-
, the Royal Netherlands Institute for Sea Research (NIOZ), TU Delft, Statistics Netherlands (CBS), Naturalis, and several other academic partners. The project also engages a diverse group of stakeholders in
-
motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
-
record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
openings available. Internal Number: 362548 Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or
-
Administration NAV. Prognostic factors for long-term effects on health and welfare will also be explored. The PhD candidate will be in charge of cleaning, linking and statistically analysing data from the various
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
-
to the sub-group. Themes might include: the acquisition of productivity of morphological rules; the interaction of linguistic universals and statistical properties of the input in L2/Ln acquisition; linguistic
-
MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
-
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