Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Cranfield University
- Linköping University
- Forschungszentrum Jülich
- Aalborg University
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- Eindhoven University of Technology (TU/e)
- KU LEUVEN
- Newcastle University
- Vrije Universiteit Brussel
- CNRS
- Loughborough University;
- Lulea University of Technology
- Umeå University
- Empa
- Leibniz
- Monash University
- Tallinn University of Technology
- University of Amsterdam (UvA)
- University of Oslo
- University of Southern Denmark
- Aalborg Universitet
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- Queensland University of Technology
- The University of Manchester
- University of Antwerp
- University of Luxembourg
- University of Warwick
- ETH Zürich
- IMDEA Networks Institute
- Norwegian University of Life Sciences (NMBU)
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Bergen
- University of Birmingham
- University of Exeter
- University of Twente
- Utrecht University
- Ariel University
- Bucharest Universty of Economic Studies
- Chalmers University of Technology
- DAAD
- Duke University
- George Mason University
- HONG KONG BAPTIST UNIVERSITY
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London
- Iquadrat Informatica SL
- Leiden University
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Oak Ridge National Laboratory
- SciLifeLab
- Swedish University of Agricultural Sciences
- Technical University Of Denmark
- Umeå universitet
- University College London
- University of A Coruña
- University of Agder
- University of Newcastle
- University of Plymouth
- University of Potsdam •
- University of Sheffield
- University of South-Eastern Norway
- University of Surrey
- University of Texas at Austin
- Uppsala universitet
- VIB
- Wageningen University & Research
- AALTO UNIVERSITY
- AGH University of Krakow
- Adolphe Merkle Institute
- Build to Zero S.L.
- CNRS UMR6614 CORIA
- CUNY School of Medicine
- Catholic University Eichstaett-Ingolstadt
- Centrale Lille Institut
- Centrale Supelec
- 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
- Erasmus University Rotterdam
- Faculty of Science, Charles University
- 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
-
theory? Do you want to develop cutting-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a
-
indicators and neurotransmitter sensors (fiber photometry), opto- and chemogenetics, engram visualization and mouse behavior. By joining our team at the University of Amsterdam, you will contribute to a deeper
-
minimise such loss through the use of generative AI to augment training sets is proposed. Multimodal sensing: The use of open-loop or simplified (e.g., single-sensor) closed-loop systems in food automation
-
of the screening output. This approach selects new, efficient enzymes, but also generates unique sequencefunction datasets that will be interpreted by regression and tree-based machine learning algorithms to obtain
-
ecosystem health in the northern Scandinavian mountain ranges. The project will include fieldwork in the mountains near Abisko in northern Sweden, where eddy covariance sensors will be used to measure ET in
-
and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
-
validation of linear-scaling electronic-structure and optical-response methods. This includes the advancement and use of efficient algorithms, benchmarking against established approaches, and application
-
with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
-
three-year PhD–positions related to use of AI for mapping of forest ecosystems. New sensors and increased digitalization generate vast quantities of data that together with advanced statistical methods
-
-edge academic insight with real-world robotics applications. The PhD project will focus on the design of advanced control and decision-making algorithms to enhance the intelligence, autonomy, and