Sort by
Refine Your Search
-
Listed
-
Employer
- European Space Agency
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- AcademicTransfer
- Delft University of Technology (TU Delft)
- Leiden University; Published today
- Amsterdam UMC
- Eindhoven University of Technology (TU/e); Published today
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Leiden University; today published
- Maastricht University (UM)
- Microflown Technologies
- NIOZ Royal Netherlands Institute for Sea Research
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Twente (UT)
- Utrecht University
- Wageningen University & Research
- 10 more »
- « less
-
Field
-
methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
-
topics including: Artificial Intelligence (AI) and Machine Learning; knowledge of mixed reality development and programming (e.g. AR, VR, XR). Diversity, Equity and Inclusiveness ESA is an equal
-
/ Opens external Job description You educate and inspire the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and
-
, YUFE offers students and staff cross-border learning, research, and mobility opportunities, while promoting diversity, civic engagement, and a shared European identity. The YUFE Student Affairs Officer
-
, artificial intelligence and machine learning and/or computational modelling approaches. Moreover, the candidate will have a leading role in expanding and professionalizing the growing computational biology
-
processing and databases, software applications including human computer interface, support for science operation centres and downstream applications; Supporting projects with the centre of competence in
-
methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
-
the development and implementation of in vitro assays for high-throughput screening, with a particular emphasis on CRISPR-based methodologies Preferably, experience in applying artificial intelligence and machine
-
; Experience in the use of Rayyan or other software for systematic reviews, Mendeley for citation management and SPSS for data/statistical analysis/machine learning. Diversity, Equity and Inclusiveness ESA is an
-
significantly enhance the efficiency and effectiveness of mission operations. Topic 3: Digital Twins, AI Enhanced Simulation Models and Machine Learning Simulators are complex software systems used to simulate