Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Cranfield University
- Forschungszentrum Jülich
- Nature Careers
- Technical University of Denmark
- Technical University of Munich
- Delft University of Technology (TU Delft)
- DAAD
- Eindhoven University of Technology (TU/e)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Delft University of Technology (TU Delft); yesterday published
- Leiden University
- University of Amsterdam (UvA)
- University of Groningen
- University of Southern Denmark
- Fraunhofer-Gesellschaft
- Monash University
- Tallinn University of Technology
- University of Luxembourg
- Uppsala universitet
- Eindhoven University of Technology (TU/e); Eindhoven
- KU LEUVEN
- University of A Coruña
- University of Adelaide
- University of Nottingham
- ETH Zürich
- Erasmus University Rotterdam
- ISCTE - Instituto Universitário de Lisboa
- Leiden University; Leiden
- Linköpings universitet
- Technical University of Cluj-Napoca
- The University of Manchester
- Umeå University
- University of Amsterdam (UvA); Amsterdam
- University of Basel
- University of Cambridge;
- University of East Anglia
- University of Southern Queensland
- University of Twente (UT)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Empa
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Graz University of Technology
- HONG KONG BAPTIST UNIVERSITY
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Institute for bioengineering of Catalonia, IBEC
- Leibniz
- Linköping University
- Loughborough University
- Luleå University of Technology
- Maastricht University (UM)
- National University of Science and Technology POLITEHNICA Bucharest
- Newcastle University;
- Norwegian University of Life Sciences (NMBU)
- Radboud University
- Susquehanna International Group
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå universitet
- Universidad de Alicante
- Universidade de Vigo
- University of Antwerp
- University of Bristol
- University of Cambridge
- University of Innsbruck, Institute of Computer Science
- University of Oxford;
- University of Surrey
- University of Texas at Austin
- University of Twente
- University of Twente (UT); Enschede
- University of Warwick
- Utrecht University
- ;
- ; University of Exeter
- Aalborg Universitet
- Aalborg University
- Aarhus University
- Brno University of Technology
- Brookhaven National Laboratory
- Bucharest Universty of Economic Studies
- CISPA Helmholtz Center for Information Security
- CSIRO
- Carl von Ossietzky Universität Oldenburg
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Centre for Genomic Regulation
- Chalmers University of Technology
- Charles University, Faculty of Mathematics and Physics
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Constructor University Bremen gGmbH
- Cranfield University;
- Curtin University
- DTU Electro
- Delft University of Technology (TU Delft); today published
- Deutsches Elektronen-Synchrotron DESY •
- Drexel University
- Edmund Mach Foundation
- 90 more »
- « less
-
Field
-
. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
-
· developong new genetic algorithms related to finite element (FE) modeling · presentation of results and their disseminatio The successful candidates must be enrolled in PhD School program
-
absorption/fluorescence and scattering experiments at X-ray free electron lasers. Your focus will be to derive new algorithms for interpretation of the scattering data by introducing chemical force-fields via
-
programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
modeling tools and HDL simulators to validate functionality. Collaborate closely with algorithm designers to co-optimize architecture. Publish results in high-impact journals and conferences. Qualifications
-
discovery, and deep-learning algorithms • Neutron scattering and advanced characterisation techniques The successful candidate will work closely with other PhDs and postdocs involved in similar investigations
-
new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas
-
application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial peptides Perform and support experimental studies across the METAMIC project
-
-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to