Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Aalborg University
- University of Nottingham
- Technical University of Denmark
- University of Oslo
- Forschungszentrum Jülich
- Linköping University
- University of Warwick
- The University of Manchester
- Cranfield University
- CNRS
- Delft University of Technology (TU Delft)
- ETH Zürich
- Newcastle University
- Umeå University
- University of Luxembourg
- University of Southern Denmark
- Uppsala universitet
- Utrecht University
- Eindhoven University of Technology (TU/e)
- HONG KONG BAPTIST UNIVERSITY
- Inria, the French national research institute for the digital sciences
- Leibniz
- University of Basel
- DAAD
- University of Surrey
- Carnegie Mellon University
- Faculty of Science, Charles University
- KU LEUVEN
- Norwegian University of Life Sciences (NMBU)
- University of Antwerp
- University of Exeter
- University of Plymouth
- Vrije Universiteit Brussel (VUB)
- ;
- Duke University
- Empa
- Hong Kong Polytechnic University
- Queensland University of Technology
- Tallinn University of Technology
- University of Birmingham
- University of Cambridge;
- University of Twente
- VIB
- Aalborg Universitet
- Ariel University
- CSIC
- Chalmers University of Technology
- Ecole Centrale de Lyon
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- George Mason University
- Hasselt University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- Leiden University
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Newcastle University;
- PHAETHON Centre of Excellence
- SciLifeLab
- Swansea University
- Tampere University
- Technical University Of Denmark
- UCL
- University of Bergen
- University of Birmingham;
- University of Bristol
- University of Leeds
- University of Newcastle
- University of North Texas at Dallas
- University of Oxford
- University of Sheffield
- University of South Carolina
- University of Surrey;
- Universität für angewandte Kunst Wien
- Vrije Universiteit Brussel
- Wageningen University & Research
- Abertay University
- Academic Europe
- Auburn University
- Babes-Bolyai University
- Brunel University
- Centrale Supelec
- CentraleSupélec Rennes campus
- Consiglio Nazionale delle Ricerche
- Constructor University Bremen gGmbH
- Copenhagen Business School
- DIFFER
- Electronics and Informatics Department
- European Magnetism Association EMA
- European Synchrotron Radiation Facility
- Faculty of Sciences of the University of Porto
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Harper Adams University
- 90 more »
- « less
-
Field
-
Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 22 days ago
of German Experience in dynamic modelling of infectious diseases Laboratory methods for serology/ELISA (experience gained during MSc or BSc studies desirable) Knowledge on/ experience in Machine learning
-
Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
-
Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
-
English. Preference will be given to those with (i) strong background in quantitative methods, geospatial methods, AI and machine learning; (ii) experience in high-performance and cloud computing; (iii
-
users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
-
training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
-
requirements and focusing on data-value maximisation. This project will utilise innovative machine learning methods and tools from process systems engineering to simultaneously optimise product quality and the
-
/physics or any related discipline. This is a largely experimental research project based at the University of Nottingham, with some aspects of material modelling and development of machine learning to aid
-
degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
-
advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks