Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- DAAD
- Curtin University
- Leibniz
- Technical University of Munich
- Susquehanna International Group
- Cranfield University
- University of Groningen
- Monash University
- Nord University
- Pennsylvania State University
- Swedish University of Agricultural Sciences
- Utrecht University
- ; Newcastle University
- Chalmers University of Technology
- Ludwig-Maximilians-Universität München •
- NTNU - Norwegian University of Science and Technology
- Umeå University
- University of Utah
- ; University of Warwick
- Forschungszentrum Jülich
- SciLifeLab
- Technical University of Denmark
- The University of Chicago
- UiT The Arctic University of Norway
- University of Antwerp
- University of Göttingen •
- University of Newcastle
- University of Nottingham
- Wageningen University and Research Center
- ; University of Nottingham
- Abertay University
- Duke University
- Ghent University
- MASARYK UNIVERSITY
- Purdue University
- University of Adelaide
- University of Bonn •
- University of Cambridge
- University of Copenhagen
- University of Liverpool
- University of Massachusetts Medical School
- University of Oslo
- University of Oxford
- University of Vienna
- ; Swansea University
- ; University of Birmingham
- ; University of Exeter
- ; University of Reading
- Aalborg University
- Aarhus University
- Baylor College of Medicine
- Carnegie Mellon University
- Cornell University
- Hannover Medical School •
- Humboldt-Universität zu Berlin •
- Imperial College London
- Institut Pasteur
- Kaiyuan International Mathematical Sciences Institute
- Linköping University
- Max Planck Institute for Demographic Research (MPIDR)
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Radix Trading LLC
- The University of Iowa
- Trinity College Dublin
- Universiteit van Amsterdam
- University of Alaska
- University of British Columbia
- University of California, Berkeley
- University of California, Los Angeles
- University of Manchester
- University of Pennsylvania
- University of Sheffield
- University of Southern Denmark
- University of Tübingen
- VIB
- Wayne State University
- Østfold University College
- ; Coventry University Group
- ; Imperial College London
- ; King's College London
- ; St George's, University of London
- ; The University of Manchester
- ; UCL
- ; University of Bristol
- ; University of Cambridge
- ; University of Limerick
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Stirling
- ; University of Surrey
- AIT Austrian Institute of Technology
- Ariel University
- Arizona State University
- CEA
- CNRS
- Carl von Ossietzky University of Oldenburg •
- 90 more »
- « less
-
Field
-
statistical competence in quantitative methods. They will have a demonstrated ability to work independently and to appropriately manage sensitive and confidential information. Responsibilities may include
-
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
-
out or closes the browser. Culture The cookie is used to save the language the portal is displayed in. The cookie is saved for a month. Statistical cookies Referrer When the visitor gets to the website
-
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
-
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
-
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
-
are 'explainability' and trust - as the machines learn, they are based upon statistical outcomes on large data sets, rather than human intuitive information. Another problem lies with the fragility of the systems
-
"). 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
-
://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide