Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- Cranfield University
- ;
- DAAD
- Technical University of Munich
- Chalmers University of Technology
- Forschungszentrum Jülich
- Susquehanna International Group
- Curtin University
- University of Luxembourg
- University of Groningen
- University of Southern Denmark
- ; City St George’s, University of London
- Leibniz
- University of Nottingham
- ; The University of Manchester
- CWI
- Ghent University
- Humboldt-Stiftung Foundation
- Leiden University
- SciLifeLab
- ; Swansea University
- ; University of Warwick
- University of Adelaide
- University of Antwerp
- University of Southern Queensland
- VIB
- Vrije Universiteit Brussel
- ; Newcastle University
- ; University of Bristol
- ; University of Exeter
- ; University of Southampton
- ; University of Surrey
- Aalborg University
- Aarhus University
- Abertay University
- CNRS
- Carnegie Mellon University
- Cornell University
- Duke University
- Imperial College London
- La Trobe University
- Lulea University of Technology
- NTNU - Norwegian University of Science and Technology
- Universite de Moncton
- University of Copenhagen
- Utrecht University
- Wageningen University and Research Center
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; University of Birmingham
- ; University of Greenwich
- ; University of Leeds
- ; University of Nottingham
- ; University of Oxford
- ; University of Reading
- ; University of Strathclyde
- ; University of Sussex
- AALTO UNIVERSITY
- Ariel University
- Arizona State University
- Brookhaven Lab
- European Magnetism Association EMA
- GFZ Helmholtz Centre for Geosciences
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- ICN2
- Institut Pasteur
- Leipzig University •
- Linköping 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 •
- McGill University
- Monash University
- Murdoch University
- NORCE
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Institute of Chemistry Slovenia
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Queensland University of Technology
- RWTH Aachen University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- Technische Universität Berlin •
- The University of Chicago
- The University of Manchester;
- Trinity College Dublin
- UCL
- 89 more »
- « less
-
Field
-
models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
-
strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain
-
Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
-
correction. This machine-learning approach, however, needs a realistic model of light propagation in the retina in order to validate it and to generate the large volumes of training data required. Funding
-
, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment
-
behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
-
for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
-
of machine learning frameworks Your research will include using models and codes to investigate the optimized design, integration, and intelligent operation of thermal energy storage systems in industrial
-
an exceptional international team with expertise in all aspects of the project. Your tasks will include: • Preparation of different EO and in-situ datasets for training a machine learning model • Development of ML
-
sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms