Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- ;
- Umeå University
- Nature Careers
- Wageningen University and Research Center
- Technical University of Denmark
- NTNU - Norwegian University of Science and Technology
- SciLifeLab
- RMIT University
- Cranfield University
- Forschungszentrum Jülich
- Linköping University
- DAAD
- Lulea University of Technology
- Technical University of Munich
- Ghent University
- Swedish University of Agricultural Sciences
- Curtin University
- Leibniz
- University of Luxembourg
- Monash University
- University of Adelaide
- University of Twente
- CWI
- Chalmers University of Technology
- University of Nottingham
- University of Southern Denmark
- Utrecht University
- ; The University of Manchester
- Aalborg University
- Ludwig-Maximilians-Universität München •
- University of Cambridge
- University of Vienna
- ; Manchester Metropolitan University
- ; Swansea University
- ; University of Reading
- Carnegie Mellon University
- Leiden University
- Radboud University
- The University of Iowa
- University of Bonn •
- University of Oxford
- ; Loughborough University
- ; University of Exeter
- ; University of Plymouth
- ; University of Southampton
- ; University of Sussex
- ; University of Warwick
- Duke University
- Erasmus University Rotterdam
- Flinders University
- The Ohio State University
- Trinity College Dublin
- University of Oslo
- University of Sheffield
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Birmingham
- ; University of Nottingham
- ; University of Sheffield
- Arizona State University
- ETH Zurich
- Friedrich Schiller University Jena •
- Hannover Medical School •
- KNAW
- Karlsruhe Institute of Technology •
- Max Planck Institute for Biogeochemistry, Jena
- Nord University
- Norwegian University of Life Sciences (NMBU)
- OsloMet
- Queensland University of Technology
- Swinburne University of Technology
- THE UNIVERSITY OF HONG KONG
- UNIVERSITY OF HELSINKI
- Universiteit van Amsterdam
- University of Bayreuth •
- University of Bergen
- University of British Columbia
- University of Copenhagen
- University of Florida
- University of Lund
- University of Oregon
- University of Pittsburgh
- University of Tübingen
- University of Utah
- ; Anglia Ruskin University
- ; Austrian Academy of Sciences
- ; Brunel University London
- ; Cranfield University
- ; Newcastle University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Bristol
- ; University of Essex
- ; University of Limerick
- ; University of Oxford
- ; University of Stirling
- ; University of Surrey
- AALTO UNIVERSITY
- Aarhus University
- AcademicTransfer
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Engineering
- Materials Science
- Chemistry
- Linguistics
- Science
- Mathematics
- Environment
- Arts and Literature
- Business
- Social Sciences
- Earth Sciences
- Psychology
- Electrical Engineering
- Humanities
- Philosophy
- Physics
- Education
- Law
- Sports and Recreation
- 13 more »
- « less
-
all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
-
and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
-
11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
-
This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
-
PhD Scholarship in Big Data and Analytics for Crop Genetics Modern agriculture and biomedical research are driven by the availability of big data and the development of data science. The recent
-
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
-
, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
-
psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data
-
protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
-
methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the