Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Technical University of Munich
- Technical University of Denmark
- Forschungszentrum Jülich
- Nature Careers
- ;
- Monash University
- Chalmers University of Technology
- Curtin University
- Ghent University
- University of Groningen
- ; The University of Manchester
- DAAD
- Umeå University
- University of Adelaide
- University of Southern Denmark
- Vrije Universiteit Brussel
- ; Swansea University
- Fraunhofer-Gesellschaft
- NTNU - Norwegian University of Science and Technology
- Radboud University
- ; Newcastle University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Exeter
- ; University of Leeds
- Aarhus University
- Leiden University
- Linköping University
- University of Cambridge
- University of Copenhagen
- University of Nottingham
- University of Southern Queensland
- University of Twente
- Utrecht University
- ; Brunel University London
- ; University of Birmingham
- ; University of Bristol
- ; University of East Anglia
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- Aalborg University
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus University Rotterdam
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- Leibniz
- Lulea University of Technology
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Queensland University of Technology
- SciLifeLab
- Trinity College Dublin
- University of Antwerp
- University of Bern
- University of Bremen •
- University of British Columbia
- University of Oslo
- University of Potsdam •
- Uppsala University
- Wageningen University and Research Center
- 55 more »
- « less
-
Field
-
to muon g-2 from lattice Quantum Chromodynamics and algorithmic developments for multi-level and RG-improved simulations (research group of Urs Wenger) C.) Study of multi-hadron systems, with a focus on
-
-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
-
leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational
-
formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context
-
interactions need to be strengthened, integrating the extracted requirements into services, prototyping the necessary interfaces/software, and iteratively testing via case studies. The development
-
energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
-
. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
-
the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
-
This project aims to develop outcome measures for early detection of neurodegenerative disorders using artificial intelligence (AI) and various sensing modalities, offering personalised support to
-
sector. How do we protect fundamental rights when algorithms help decide on who receives public benefits, how to perform enforcement or how to enact environmental policy? What is the role of the state, and