Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- DAAD
- ;
- Susquehanna International Group
- Curtin University
- Technical University of Munich
- Utrecht University
- Leibniz
- Monash University
- University of Groningen
- Ludwig-Maximilians-Universität München •
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Utah
- ; Newcastle University
- ; University of Nottingham
- ; University of Warwick
- Cranfield University
- Forschungszentrum Jülich
- Linköping University
- SciLifeLab
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- The University of Chicago
- UiT The Arctic University of Norway
- University of Göttingen •
- University of Nottingham
- Wageningen University and Research Center
- Abertay University
- Chalmers University of Technology
- Duke University
- Erasmus University Rotterdam
- MASARYK UNIVERSITY
- University of Bonn •
- University of Newcastle
- University of Oslo
- University of Southern Denmark
- University of Vienna
- Østfold University College
- ; Swansea University
- ; University of Exeter
- Aarhus University
- Carnegie Mellon University
- Ghent University
- Hannover Medical School •
- Humboldt-Universität zu Berlin •
- Institut Pasteur
- Kaiyuan International Mathematical Sciences Institute
- Max Planck Institute for Demographic Research (MPIDR)
- Norwegian University of Life Sciences (NMBU)
- Pennsylvania State University
- Radix Trading LLC
- The University of Iowa
- Trinity College Dublin
- Universiteit van Amsterdam
- University of Alaska
- University of Antwerp
- University of British Columbia
- University of California Davis
- University of California, Berkeley
- University of California, Los Angeles
- University of Cambridge
- University of Copenhagen
- University of Liverpool
- University of Manchester
- University of Oxford
- University of Pennsylvania
- University of Tübingen
- VIB
- Wayne State University
- ; Coventry University Group
- ; Imperial College London
- ; St George's, University of London
- ; The University of Manchester
- ; UCL
- ; University of Birmingham
- ; University of Bristol
- ; University of Limerick
- ; University of Oxford
- ; University of Reading
- ; University of Stirling
- ; University of Surrey
- ; University of Sussex
- Ariel University
- Arizona State University
- Carl von Ossietzky University of Oldenburg •
- FAU Erlangen-Nürnberg •
- Fraunhofer-Gesellschaft
- Helmholtz Centre for Environmental Research - UFZ •
- Helmholtz-Zentrum Geesthacht
- Indiana University
- Johns Hopkins University
- Jönköping University
- Leipzig University •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- McGill University
- Murdoch University
- 90 more »
- « less
-
Field
-
of AI. The ideal candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary Monday – Friday 8-5 VP Area U of U Health - Academics Department 02171 - Education Program and Trainees Location Campus
-
tools to record and derive important contextual information. The student will also learn relevant statistical techniques such as Linear Mixed Modelling to compare between drills and competition
-
mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
-
models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
-
statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental endogeneity. Therefore, big
-
"). As the field of causal inference shifts toward population-level intervention effects, there is a risk of overlooking the value of statistical modeling. The ACME project seeks to reintegrate flexible
-
data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and
-
Marine Research Program. It is actively involved in various national and international projects, including PIISA (https://piisa-project.eu/ ), CLIMAAX (https://www.climaax.eu/ ) and VALORADA (https