Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- Norwegian University of Life Sciences (NMBU)
- Linköping University
- Aalborg University
- Cranfield University
- Forschungszentrum Jülich
- Linköpings universitet
- Nature Careers
- Uppsala universitet
- Curtin University
- Loughborough University
- Aalborg Universitet
- CNRS
- Delft University of Technology (TU Delft); Delft
- GFZ Helmholtz Centre for Geosciences
- Leiden University
- Mälardalen University
- Tallinn University of Technology
- Technical University of Munich
- University of Antwerp
- University of Innsbruck, Institute of Computer Science
- University of Luxembourg
- University of Southern Denmark
- Academic Europe
- Brookhaven National Laboratory
- COFAC
- CWI
- Carnegie Mellon University
- Chalmers University of Technology
- Chalmers tekniska högskola
- DAAD
- Delft University of Technology (TU Delft)
- Drexel University
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Graz University of Technology
- IMEC
- IRTA
- Instituto de Telecomunicações
- La Trobe University
- Leiden University; Leiden
- Liverpool John Moores University
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- Luleå tekniska universitet
- Maastricht University (UM); yesterday published
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Monash University
- National Renewable Energy Laboratory NREL
- Northeastern University
- Oxford Brookes University
- Queensland University of Technology
- RWTH Aachen University
- Reykjavik University
- Saarland University •
- School of Business, Society and Engineering
- Technical University Of Denmark
- The University of Alabama
- The University of Edinburgh
- UNIVERSITY OF BUCHAREST
- Umeå University
- Universidade de Coimbra
- Universidade de Vigo
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Birmingham;
- University of Bremen •
- University of British Columbia
- University of California, Los Angeles
- University of Cambridge;
- University of East Anglia
- University of Exeter;
- University of Galway
- University of Nottingham
- University of Sheffield
- University of Southern Queensland
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Tübingen
- University of Warwick
- Université Laval
- Vrije Universiteit Brussel
- Warsaw University of Technology
- École nationale des ponts et chaussées
- 81 more »
- « less
-
Field
-
. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
-
Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
-
consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
-
distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
-
knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
-
are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
-
machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use of artificial intelligence. Electric drilling and other methods
-
, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment
-
interest in neuro-behavioral sciences and a passion for behavioral signals. Demonstrable experience in advanced data analysis and data collection. Familiarity with machine learning and proficiency in Python
-
structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply