Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Nature Careers
- Tallinn University of Technology
- DAAD
- Chalmers University of Technology
- Curtin University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Empa
- Forschungszentrum Jülich
- KU LEUVEN
- Leibniz
- Newcastle University;
- Technical University of Denmark
- University of Antwerp
- University of Cambridge
- University of Groningen
- University of Nottingham
- ; Brunel University London
- Bucharest Universty of Economic Studies
- Cranfield University
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- Ghent University
- Harper Adams University
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Heraeus Covantics
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London
- Instituto Superior de Economia e Gestão
- Instituto de Telecomunicações
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Linköping University
- Monash University
- TU Dresden
- Tel Aviv University
- UNIVERSITY OF VIENNA
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of East Anglia
- University of Glasgow
- University of Luxembourg
- University of Minnesota
- University of Newcastle
- University of Sheffield
- University of Vienna
- Università degli Studi di Sassari
- Università degli Studi di Trieste
- Uppsala universitet
- VIB
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- Wageningen University & Research
- 48 more »
- « less
-
Field
-
data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
-
data preprocessing, algorithm development, and optimization techniques. Excellent communication skills in English. Prior experience with environmental or photocatalytic systems is a plus. A fully funded
-
Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
-
collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
-
Disse), the Chair of Geoinformatics (Prof. Thomas H. Kolbe), and the Chair of Algorithmic Machine Learning & Explainable AI (Prof. Stefan Bauer). The project aims to develop an integrated urban flood
-
. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
-
collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
-
groups are strongly encouraged to apply. Your Tasks: Development and application of algorithms for modelling, evaluation and visualization of ultrafast processes Investigation of ultrafast dynamics in
-
-body positron emission tomography (PET) with magnetic resonance imaging (MRI). In conjunction with the development of algorithms, dedicated software and hardware-based simulations will be developed
-
well as develop new algorithms for inverse scattering. These extensions will be employed in a reconstruction process on actual measured data from real-world metrology, in line with the long-term vision presented in