Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- Nature Careers
- Technical University of Denmark
- Forschungszentrum Jülich
- Chalmers University of Technology
- NTNU - Norwegian University of Science and Technology
- ; The University of Manchester
- Abertay University
- Cranfield University
- University of Potsdam •
- University of Southern Denmark
- University of Twente
- Brandenburg University of Technology Cottbus-Senftenberg •
- Curtin University
- Freie Universität Berlin •
- Ghent University
- KNAW
- Leibniz
- OsloMet
- University of Adelaide
- University of Bremen •
- University of Groningen
- University of Luxembourg
- Utrecht University
- ;
- ; Aston University
- ; Loughborough University
- ; Swansea University
- ; Technical University of Denmark
- ; University of Sheffield
- ; University of Southampton
- ; University of Sussex
- ; University of Warwick
- Empa
- Heidelberg University •
- Julius-Maximilians-Universität Würzburg •
- Justus Liebig University Giessen •
- Karlsruhe Institute of Technology •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute of Biochemistry •
- Monash University
- NORCE
- Norwegian Meteorological Institute
- Saarland University •
- Swinburne University of Technology
- TU Bergakademie Freiberg
- Technical University Of Denmark
- Technical University of Munich
- Tilburg University; Tilburg
- Trinity College Dublin
- UiT The Arctic University of Norway
- University of Birmingham;
- University of Bonn •
- University of British Columbia
- University of Copenhagen
- University of Göttingen •
- University of Konstanz •
- University of Münster •
- University of Nottingham
- University of Oslo
- University of Stuttgart •
- Universität Hamburg •
- WIAS Berlin
- Wageningen University and Research Center
- 54 more »
- « less
-
Field
-
breakage models, e.g. with stochastic tessellations Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods Lab work and collection
-
skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
-
particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
-
in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
-
monitoring will be based on real time data streaming from the machine numerical control. The project will cover all the aspects related to the implementation and automation of the tool life cycle management
-
. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
-
assess risks of de-anonymization, including researching current de-anonymization strategies Deploying and benchmarking anonymization methods. Investigation of state-of-the-art methods from cryptography and
-
efforts to contribute to safer marine operations, we actively explore possibilities to utilize both numerical and machine learning methods to enhance the accuracy and resolution of metocean forecasts. About
-
structured PhD curriculum. These meetings will include presentations by faculty members on various research topics and methods, offering students valuable insights into different approaches and techniques
-
for culture and creative domains. These domains may include sound, music, visual art, 3D graphics, movement, or multimodal combinations thereof. The research will employ a mixed-methods approach: the search