Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Nature Careers
- Cranfield University
- Forschungszentrum Jülich
- University of Nottingham
- Aalborg University
- CNRS
- Delft University of Technology (TU Delft)
- KU LEUVEN
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Newcastle University
- Swansea University
- Tallinn University of Technology
- Eindhoven University of Technology (TU/e)
- Empa
- Leibniz
- NTNU Norwegian University of Science and Technology
- The University of Manchester
- Umeå University
- University of Luxembourg
- University of Southern Denmark
- University of Twente
- Aalborg Universitet
- Inria, the French national research institute for the digital sciences
- Loughborough University;
- Technical University of Denmark
- The Belgian Nuclear Research Centre
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Amsterdam (UvA)
- University of Twente (UT)
- Utrecht University
- Wageningen University & Research
- Duke University
- George Mason University
- HONG KONG BAPTIST UNIVERSITY
- Iquadrat Informatica SL
- Leiden University
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Monash University
- Newcastle University;
- Oak Ridge National Laboratory
- Queensland University of Technology
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University College London
- University of A Coruña
- University of Adelaide
- University of Agder
- University of Essex
- University of Oslo
- University of Siegen
- University of Surrey
- University of Texas at Austin
- University of Vienna
- University of Warwick
- Vrije Universiteit Brussel
- AALTO UNIVERSITY
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- CIC nanoGUNE
- Catholic University Eichstaett-Ingolstadt
- Centrale Supelec
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Chalmers University of Technology
- Columbia University
- Constructor University Bremen gGmbH
- Copenhagen Business School
- Deutsches Elektronen-Synchrotron DESY •
- Ecole Centrale de Lyon
- Edge Hill University
- Faculty of Science, Charles University
- Fondazione Bruno Kessler
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- IMEC
- Imperial College London
- Industrial Systems Institute (ISI)
- Institute for Basic Science
- Institute of Low Temperature and Structure Research Polish Academy of Sciences
- Institute of Nuclear Physics Polish Academy of Sciences
- Institute of Physics Slovak Academy of Sciences
- Instituto Superior de Agronomia
- Instituto de Telecomunicações
- Karolinska Institutet, doctoral positions
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Lulea University of Technology
- Manchester Metropolitan University;
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Murdoch University
- NORCE Norwegian Research Centre
- NVIDIA Denmark
- Nantes Université
- 90 more »
- « less
-
Field
-
: Develops advanced Agro-geoinformatic algorithms for monitoring and predicting the conditions of crop, pasture, and their environment with advanced remote sensing and geospatial technologies; Develops and
-
algorithms for resource-efficient learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce
-
collaborators. Tasks include formulating optimisation problems, developing algorithms for optimisation with Bayesian models, and implementing solutions in relevant software. Further tasks include the formulation
-
address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical
-
, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
-
will develop and evaluate fault detection and fault location algorithms for these systems. The project is funded by GE Vernova under a wider collaboration with Imperial College London. You will be co
-
. Mastery of R and Python is required to execute complex bioinformatics algorithms and statistical models. The applicant exhibits a deep understanding of human immunology and the physiological responses
-
. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
-
on real-life data from the maritime industry. As part of the PhD, you will be following advanced courses to extend your skills, implement and test algorithms, and learn to write scientific papers. As part
-
. Strategies will centre on improved formulations of the mixed-integer constraints, as well as the use of machine learning to accelerate conventional solution algorithms (e.g. branch and bound). The second goal