Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- Ludwig-Maximilians-Universität München •
- NTNU - Norwegian University of Science and Technology
- CNRS
- Eindhoven University of Technology (TU/e)
- Susquehanna International Group
- University of Amsterdam (UvA)
- Aalborg Universitet
- Chalmers University of Technology
- Fermilab
- IMEC
- Karolinska Institutet, doctoral positions
- Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH
- Leiden University; yesterday published
- Linköping University
- Max Planck Institute for the Study of Societies •
- NOVA Information Management School (NOVA IMS)
- Nature Careers
- Princess Máxima Center for Pediatric Oncology
- RAEGE-Az
- UNIVERSITY OF VIENNA
- Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab
- Universitat Autonoma de Barcelona
- Universiteit van Amsterdam
- University of Bergen
- University of Cambridge
- University of Potsdam •
- University of Vienna
- Universität Hamburg •
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 23 more »
- « less
-
Field
-
the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based
-
simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
-
theory and experiment. By integrating quantum optics, quantum information theory, and machine learning, the project seeks to establish scalable hybrid spin–orbit quantum links. Free-space connections
-
Beginning Winter semester Application deadline All students – online application: 1 March for the following winter semester https://www.lmu.de/psy/de/studium/doctoral-training-program-in-the-learning-sciences
-
analysis, has good software skills (Python, C++, ROOT) and has (some) research experience in experimental particle physics. Experience with machine learning algorithms and software is desirable but not
-
, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning, the project will make use of historical radar
-
to improve detection capabilities, target recognition and shape estimation, data association, as well as intention prediction, beyond the state of the art. In order to support machine learning
-
related to Computer Science, Machine Learning, Data Science, Information Management or other related areas; Have skills in the development and application of machine learning models in supervised and non
-
, currents, water levels, wind, and ice. Machine learning models will be developed to forecast future variations in such dynamic conditions and to incorporate the operational state of the vessel into routing
-
, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en