Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Cranfield University
- ;
- SciLifeLab
- Chalmers University of Technology
- DAAD
- Ghent University
- Technical University of Munich
- Curtin University
- Fraunhofer-Gesellschaft
- Susquehanna International Group
- University of Groningen
- University of Nottingham
- ; The University of Manchester
- ; University of Nottingham
- ; University of Warwick
- University of Luxembourg
- ; City St George’s, University of London
- ; Swansea University
- Humboldt-Stiftung Foundation
- Linköping University
- ; University of Exeter
- ; University of Oxford
- ; University of Surrey
- CWI
- Leibniz
- NTNU - Norwegian University of Science and Technology
- RMIT University
- University of Adelaide
- University of Antwerp
- University of Southern Queensland
- VIB
- Vrije Universiteit Brussel
- ; Newcastle University
- ; University of Bristol
- ; University of Leeds
- Abertay University
- Forschungszentrum Jülich
- La Trobe University
- Lulea University of Technology
- Norwegian University of Life Sciences (NMBU)
- Umeå University
- University of Copenhagen
- University of Twente
- Wageningen University and Research Center
- ; Brunel University London
- ; Cranfield University
- ; Durham University
- ; Loughborough University
- ; University of Birmingham
- ; University of Greenwich
- ; University of Reading
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- Aalborg University
- Aarhus University
- Ariel University
- Blekinge Institute of Technology
- Copenhagen Business School , CBS
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- ICN2
- Institut Pasteur
- Leiden University
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Monash University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian Meteorological Institute
- Queensland University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- Technische Universität Berlin •
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Basel
- University of British Columbia
- University of Münster •
- University of Oslo
- University of Southern Denmark
- University of Vienna
- Utrecht University
- Østfold University College
- 84 more »
- « less
-
Field
-
machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
-
Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
-
Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
-
susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
-
with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
-
learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
-
with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
-
breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
-
student, you will be supported by a multidisciplinary team with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected
-
that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal