Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- Technical University of Denmark
- Cranfield University
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- Aalborg University
- Linköping University
- University of Nottingham
- KU LEUVEN
- NTNU Norwegian University of Science and Technology
- Newcastle University
- Tallinn University of Technology
- CNRS
- Eindhoven University of Technology (TU/e)
- Empa
- Loughborough University;
- Lulea University of Technology
- Umeå University
- Vrije Universiteit Brussel
- Leibniz
- Monash University
- University of Luxembourg
- University of Oslo
- University of Southern Denmark
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- The University of Manchester
- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Antwerp
- University of Warwick
- Aalborg Universitet
- Chalmers University of Technology
- DAAD
- IMDEA Networks Institute
- Queensland University of Technology
- The Belgian Nuclear Research Centre
- University of Adelaide
- University of Amsterdam (UvA)
- University of Bergen
- University of Birmingham
- AALTO UNIVERSITY
- Ariel University
- Bucharest Universty of Economic Studies
- Duke University
- ETH Zürich
- George Mason University
- HONG KONG BAPTIST UNIVERSITY
- Helmholtz-Zentrum Geesthacht
- Iquadrat Informatica SL
- Leiden University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Newcastle University;
- Oak Ridge National Laboratory
- Swedish University of Agricultural Sciences
- UNIVERSITY OF VIENNA
- Umeå universitet
- University College London
- University of A Coruña
- University of Agder
- University of Essex
- University of Exeter
- University of Newcastle
- University of Potsdam •
- University of Sheffield
- University of Siegen
- University of Surrey
- University of Texas at Austin
- University of Twente
- University of Vienna
- VIB
- AGH University of Krakow
- AMBER laboratory
- Atlantic Technological University
- Build to Zero S.L.
- Catholic University Eichstaett-Ingolstadt
- Centrale Lille Institut
- Centrale Supelec
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Charles University, Faculty of Mathematics and Physics
- Constructor University Bremen gGmbH
- Copenhagen Business School
- Cranfield University;
- Curtin University
- Delft University of Technology
- Deutsches Elektronen-Synchrotron DESY •
- Ecole Centrale de Lyon
- Edge Hill University
- Eindhoven University of Technology
- Faculty of Science, Charles University
- Fondazione Bruno Kessler
- Fritz Haber Institute of the Max Planck Society, Berlin
- Fundació per a la Universitat Oberta de Catalunya
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Harper Adams University
- 90 more »
- « less
-
Field
-
records, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Contribute to grant proposals and
-
G protein and poly-mer brushes. Research experiments should make it possible to determine the limit of detection, specifici-ty and selectivity of biosensors. The sensor response will be realized
-
collaborators. Tasks include formulating optimisation problems, developing algorithms for optimisation with Bayesian models, and implementing solutions in relevant software. Further tasks include the formulation
-
Technology, Dep. ETI / Embedded Systems, we are looking for a researcher as of the 01.04.2026. Your tasks: Development of architectures and algorithms for adaptation of time-triggered systems based
-
(ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital
-
of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD project falls under the collaboration between
-
media and internet infrastructure computing cultures and materialities as heritage values and economies in algorithmic/data cultures social and cultural perspectives on dismantling communication networks
-
functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning
-
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
-
. 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