Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- ;
- Cranfield University
- Technical University of Denmark
- SciLifeLab
- Chalmers University of Technology
- DAAD
- Technical University of Munich
- Susquehanna International Group
- Ghent University
- University of Groningen
- Curtin University
- Fraunhofer-Gesellschaft
- University of Luxembourg
- University of Nottingham
- ; The University of Manchester
- ; University of Nottingham
- ; University of Warwick
- Linköping University
- NTNU - Norwegian University of Science and Technology
- ; City St George’s, University of London
- ; Swansea University
- Humboldt-Stiftung Foundation
- Leibniz
- VIB
- Vrije Universiteit Brussel
- ; University of Exeter
- ; University of Oxford
- ; University of Surrey
- CWI
- Forschungszentrum Jülich
- RMIT University
- University of Adelaide
- University of Antwerp
- University of Southern Queensland
- University of Twente
- ; Newcastle University
- ; University of Bristol
- ; University of Leeds
- Aalborg University
- Abertay University
- Carnegie Mellon University
- Cornell University
- Duke University
- Imperial College London
- La Trobe University
- Leiden University
- Lulea University of Technology
- Monash University
- Norwegian University of Life Sciences (NMBU)
- Umeå University
- University of Copenhagen
- Wageningen University and Research Center
- ; Brunel University London
- ; Cranfield University
- ; Durham University
- ; Loughborough University
- ; Queen Mary University of London
- ; University of Birmingham
- ; University of Greenwich
- ; University of Kent
- ; University of Reading
- ; University of Southampton
- ; University of Strathclyde
- ; University of Sussex
- Aarhus University
- Ariel University
- Arizona State University
- Blekinge Institute of Technology
- Brookhaven Lab
- Canadian Association for Neuroscience
- Copenhagen Business School , CBS
- Flinders University
- Hannover Medical School •
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- ICN2
- Institut Pasteur
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- McGill University
- Murdoch University
- Mälardalen University
- National Institute for Bioprocessing Research and Training (NIBRT)
- Newcastle University
- Norwegian Meteorological Institute
- Purdue University
- Queensland University of Technology
- Radboud University
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- The University of Chicago
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Basel
- University of Bremen •
- 89 more »
- « less
-
Field
-
that activity-silent mechanisms, such as short-term synaptic plasticity, also play an important role. We will experimentally target these two mechanisms, using EEG in combination with machine learning to reveal
-
machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
-
susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
-
breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
-
This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
-
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
-
to begin focused research early on. To complement their background, optional training in natural language processing, machine learning, and linguistics will be available. During the first year, the student
-
-making. However, traditional machine learning models face limitations in this domain due to several critical challenges. First, ICU data are high-dimensional and multimodal, with patient states evolving
-
/ . The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming
-
. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and