Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- SciLifeLab
- Cranfield University
- ;
- Technical University of Denmark
- University of Groningen
- NTNU - Norwegian University of Science and Technology
- DAAD
- University of Luxembourg
- University of Nottingham
- Curtin University
- Chalmers University of Technology
- Susquehanna International Group
- ; University of Warwick
- Ghent University
- Swinburne University of Technology
- Technical University of Munich
- ; Cranfield University
- ; University of Birmingham
- ; University of Nottingham
- ; University of Surrey
- Aalborg University
- Abertay University
- Leibniz
- Linköping University
- Lulea University of Technology
- Monash University
- University of Southern Denmark
- University of Twente
- Vrije Universiteit Brussel
- ; Brunel University London
- ; Swansea University
- ; The University of Manchester
- ; University of Bristol
- ; University of Southampton
- AALTO UNIVERSITY
- Canadian Association for Neuroscience
- Empa
- Erasmus University Rotterdam
- Forschungszentrum Jülich
- Imperial College London
- La Trobe University
- Leiden University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Radboud University
- Umeå University
- University of Adelaide
- University of California Irvine
- University of Göttingen •
- University of Limerick
- University of Newcastle
- University of Oslo
- University of Sheffield
- University of Southern California (USC)
- University of Utah
- Utrecht University
- Wageningen University and Research Center
- Østfold University College
- 52 more »
- « less
-
Field
-
for stormwater management that leverage modern technologies and sustainable practices. This PhD position offers a unique opportunity to advance urban stormwater engineering through data-driven and nature-based
-
opportunity is combining spatial biology with AI-driven modeling of gene expression responses to drug treatment in the field of drug repurposing. Drug repurposing involves identifying new therapeutic uses
-
deep learning methods to enhance the predictions beyond existing data. By incorporating microstructural features into predictive models, the aim is to create a reliable data-driven modelling framework
-
of market behavior Partner with engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying
-
that: You have an open mind and can think creatively in a computational and/or programming context. You are interested in combining your physics-based modelling skills with data-driven analysis
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
-
analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
-
civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
-
informatics, biomedical engineering, statistics, or related fields. The lab is engaged in developing novel deep learning and AI-based technologies for digital biopsies from medical images and real-world
-
-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA accelerates