Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- DAAD
- Technical University of Munich
- Cranfield University
- ;
- University of Luxembourg
- Forschungszentrum Jülich
- Curtin University
- Susquehanna International Group
- Linköping University
- NTNU - Norwegian University of Science and Technology
- University of Nottingham
- University of Southern Denmark
- ; The University of Manchester
- Chalmers University of Technology
- Ghent University
- Leibniz
- University of Groningen
- University of Tübingen
- ; City St George’s, University of London
- CWI
- Ludwig-Maximilians-Universität München •
- Monash University
- VIB
- ; University of Exeter
- ; University of Nottingham
- La Trobe University
- Lulea University of Technology
- University of Adelaide
- University of Antwerp
- ; Newcastle University
- ; Swansea University
- AALTO UNIVERSITY
- CNRS
- Hannover Medical School •
- Leiden University
- Queensland University of Technology
- The University of Manchester
- University of Bergen
- University of Göttingen •
- University of Southern Queensland
- Vrije Universiteit Brussel
- ; University of Birmingham
- ; University of Bristol
- ; University of Leeds
- ; University of Southampton
- ; University of Surrey
- Aalborg University
- Aarhus University
- Abertay University
- Brandenburg University of Technology Cottbus-Senftenberg •
- Carnegie Mellon University
- GFZ Helmholtz Centre for Geosciences
- Humboldt-Stiftung Foundation
- Imperial College London
- KINGS COLLEGE LONDON
- Radix Trading LLC
- SciLifeLab
- Swedish University of Agricultural Sciences
- Swinburne University of Technology
- Technische Universität Berlin •
- The University of Chicago
- UNIVERSITY OF HELSINKI
- Umeå University
- Universite de Moncton
- University of Basel
- University of Cambridge
- University of Minnesota
- University of Münster •
- University of Twente
- Université Laval
- Uppsala universitet
- Utrecht University
- Wageningen University and Research Center
- Østfold University College
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; UCL
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Oxford
- ; University of Reading
- ; University of Strathclyde
- ; University of Warwick
- Binghamton University
- Brookhaven Lab
- Canadian Association for Neuroscience
- Charles Sturt University
- Cornell University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zürich
- 89 more »
- « less
-
Field
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
-
to assimilate knowledge at the research level. Understanding and experience in machine learning and computer vision. Knowledge, experience, and strong interest and in AI and XR development. Knowledge and
-
and small, contribute to a better world. We look forward to receiving your application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with
-
. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science, or possibly design or cognitive science as main subject) and one at Tema Technology
-
algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
-
training unit: https://www.list.lu/en/research/project/forfus Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Your PhD work will focus on outdoor forest
-
, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
-
machine learning methods to investigate how ecosystem water stress and drought disturbances affect relevant forest ecosystem functioning at various scales. It will enable advanced assessment of forest
-
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
-
principles that regulate host-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put