Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- Germany
- United Kingdom
- Netherlands
- United States
- Australia
- Denmark
- Belgium
- Sweden
- Norway
- France
- Luxembourg
- Canada
- Switzerland
- Austria
- Spain
- Poland
- Ireland
- Czech
- Finland
- Italy
- Portugal
- New Zealand
- Hong Kong
- South Africa
- Europe
- Greece
- Worldwide
- Bulgaria
- China
- Croatia
- Deutschland
- Estonia
- Iceland
- Israel
- Latvia
- Mongolia
- Romania
- Singapore
- Slovenia
- 29 more »
- « less
-
Employer
- Nature Careers
- Technical University of Denmark
- DAAD
- ;
- Technical University of Munich
- University of Groningen
- Cranfield University
- Forschungszentrum Jülich
- Monash University
- Curtin University
- University of Nottingham
- University of Luxembourg
- CNRS
- Leibniz
- Ghent University
- University of Southern Denmark
- NTNU - Norwegian University of Science and Technology
- ; Swansea University
- University of Twente
- University of Adelaide
- Utrecht University
- ; The University of Manchester
- Chalmers University of Technology
- University of Antwerp
- University of Melbourne
- ; University of Birmingham
- Radboud University
- Wageningen University and Research Center
- Linköping University
- University of Cambridge
- University of Göttingen •
- Duke University
- Leiden University
- Ludwig-Maximilians-Universität München •
- Queensland University of Technology
- ; University of Nottingham
- The University of Iowa
- University of Basel
- Vrije Universiteit Brussel
- Susquehanna International Group
- Swedish University of Agricultural Sciences
- Umeå University
- University of British Columbia
- ; University of Southampton
- Swinburne University of Technology
- University of Bergen
- University of Bonn •
- University of Sheffield
- University of Twente (UT)
- University of Tübingen
- VIB
- ; University of Exeter
- ; University of Surrey
- Eindhoven University of Technology (TU/e)
- Purdue University
- University of Newcastle
- Empa
- Heidelberg University
- KU LEUVEN
- Lulea University of Technology
- The University of Manchester
- University of Innsbruck
- University of Oslo
- ; Cranfield University
- ; The University of Edinburgh
- Cornell University
- Erasmus University Rotterdam
- Flinders University
- Hannover Medical School •
- Nord University
- SciLifeLab
- The University of Chicago
- Trinity College Dublin
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- ; City St George’s, University of London
- ; Newcastle University
- CWI
- Delft University of Technology (TU Delft)
- ETH Zürich
- Imperial College London
- Justus Liebig University Giessen •
- La Trobe University
- National Research Council Canada
- Rutgers University
- University of Copenhagen
- Universität Hamburg •
- Wageningen University & Research
- ; University of Warwick
- AALTO UNIVERSITY
- Aarhus University
- Eindhoven University of Technology (TU/e); Eindhoven
- Humboldt-Stiftung Foundation
- ICN2
- Leiden University; Leiden
- Maastricht University (UM)
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Technical University Of Denmark
- University of Massachusetts Medical School
- 90 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Economics
- Chemistry
- Linguistics
- Materials Science
- Mathematics
- Science
- Environment
- Humanities
- Earth Sciences
- Psychology
- Arts and Literature
- Social Sciences
- Business
- Electrical Engineering
- Education
- Physics
- Law
- Philosophy
- Design
- Sports and Recreation
- Statistics
- 15 more »
- « less
-
Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
-
Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical foundation. Candidates are also expected to have strong coding and implementation skills, with the...
-
). The candidate should have hands-on experience developing state-of-the-art machine learning models, particularly deep neural networks (experience with graph neural networks is highly valued). Their background
-
mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
-
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
-
materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
-
Funding for: UK/Home Students We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available
-
an exceptional opportunity to conduct cutting-edge research at the intersection of machine learning, healthcare, and computational modelling, contributing to real-world clinical impact. What is offered