Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- DAAD
- Technical University of Denmark
- Curtin University
- Forschungszentrum Jülich
- Nature Careers
- ;
- Susquehanna International Group
- Lulea University of Technology
- Radboud University
- University of Utah
- Leibniz
- University of Nottingham
- University of Southern Denmark
- ; The University of Manchester
- CWI
- Carnegie Mellon University
- Ghent University
- Monash University
- Radix Trading LLC
- SciLifeLab
- Temple University
- UNIVERSITY OF HELSINKI
- University of British Columbia
- University of Groningen
- University of Luxembourg
- University of Newcastle
- University of Twente
- University of Twente (UT)
- VIB
- Vrije Universiteit Brussel
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Newcastle University
- ; University of Exeter
- ; University of Leeds
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Chalmers University of Technology
- Coventry University Group
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Duke University
- Eindhoven University of Technology (TU/e)
- Helmholtz-Zentrum München
- Imperial College London
- Inria, the French national research institute for the digital sciences
- La Trobe University
- Leiden University
- McGill University
- Murdoch University
- NTNU - Norwegian University of Science and Technology
- National Renewable Energy Laboratory NREL
- National Research Council Canada
- Norwegian Meteorological Institute
- Queensland University of Technology
- Reykjavik University
- SINTEF
- Singapore Institute of Technology
- Swinburne University of Technology
- Technische Universität München
- UCT Prague
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of California Irvine
- University of Copenhagen
- University of Exeter
- University of Florida
- University of Melbourne
- University of Sheffield
- University of Southern Queensland
- University of Texas at El Paso
- University of Twente (UT); Enschede
- University of Vienna
- University of Warwick
- Université Laval
- Uppsala universitet
- Utrecht University
- 71 more »
- « less
-
Field
-
). 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
-
to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
-
platform. Initially, a black box deep learning approach will be implemented. However, due to the need for robustness, transparency, and explainability (e.g. for quality control across sectors), the research
-
Can We Teach AI to Outsmart Humans in the Werewolf Game—Without Changing the AI Itself? Large Language Models (LLMs) have dazzled us with their ability to converse, code, and create—but they still
-
apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
-
, visiting researcher opportunities, access to modern GPU clusters for deep learning research, and strong academic-industry connections. CADIA's commitment to open science aligns perfectly with this project's
-
reducing demand. However, demand drivers are manifold, including technology advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies
-
unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
-
), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
-
system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker