Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- ;
- SciLifeLab
- Curtin University
- Technical University of Denmark
- DAAD
- Nature Careers
- Susquehanna International Group
- Leibniz
- Lulea University of Technology
- Chalmers University of Technology
- Fraunhofer-Gesellschaft
- Ghent University
- University of Southern Denmark
- University of Utah
- ; The University of Manchester
- ; University of Warwick
- CWI
- Carnegie Mellon University
- Forschungszentrum Jülich
- Monash University
- Radboud University
- Radix Trading LLC
- Temple University
- University of Luxembourg
- University of Newcastle
- Utrecht University
- Vrije Universiteit Brussel
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Loughborough University
- ; Newcastle University
- ; University of Copenhagen
- ; University of Exeter
- ; University of Leeds
- ; University of Nottingham
- ; University of Surrey
- Aalborg University
- Abertay University
- Copenhagen Business School , CBS
- Duke University
- Imperial College London
- Leiden University
- McGill University
- NTNU - Norwegian University of Science and Technology
- National Institute for Bioprocessing Research and Training (NIBRT)
- National Research Council Canada
- Norwegian Meteorological Institute
- Queensland University of Technology
- Singapore Institute of Technology
- Swinburne University of Technology
- The University of Alabama
- University of British Columbia
- University of California Irvine
- University of Groningen
- University of Nottingham
- University of Sheffield
- University of Southern Queensland
- University of Texas at El Paso
- University of Vienna
- 52 more »
- « less
-
Field
-
learning’ approaches (such as Deep CNN’s) and ‘unsupervised learning’ approaches (such as reinforcement based learning and generative adversarial networks). Some of the main problems with Second Wave AI
-
that highlights relevant expertise About the Division of Biostatistics We are a tight knit entrepreneurial group of six faculty. We address important biomedical problems through deep collaborations with researchers
-
the 01.10.2022. Your Responsibilities: You will work at the cutting edge of privacy-preserving deep learning research with a focus on one or more of the following topics: - Optimal model design for differentially
-
Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
-
at Ghent University from September 2025. The project aims to develop a minimally to non-invasive treatment for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning
-
programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
-
deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. We are seeking a researcher to join our team in an ERC project on DNA data storage
-
Offer: Deep immersion in modern research on renewable fuels using state-of-the-art laboratory infrastructure. TUM is one of the most renowned universities worldwide. TUM's graduate school offers inspiring
-
learning techniques, as well as methodological issues related to AI (e.g. the fairness and transparency of algorithms) Energy, Environment and Resources Firm Behavior, Innovation and the Functioning