Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Twente
- Utrecht University
- Radboud University
- European Space Agency
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft)
- Maastricht University (UM)
- Max Planck Institute for Psycholinguistics
- Naturalis
- Universiteit Maastricht (UM)
- University of Tartu - Valgepea lab
- Vrije Universiteit Amsterdam
- 2 more »
- « less
-
Field
-
relates to the preparation of radiation test campaigns on complex microelectronics, including developing test set-ups and subsequent data analysis, with emphasis on single-event effects on complex
-
, lipidomics, and proteomics. Experience with multi-omics analyses is an advantage; Basic proficiency in data analysis using R, Python, and/or Matlab, with a strong interest in computational methods
-
Workforce Survey (ESWS) data from 9 European countries and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the
-
, speech, and dialogue data to infer visitor states such as openness, curiosity, engagement, confusion, and resistance; Design and compare adaptive dialogue strategies that balance personalization with
-
Analysis : Working knowledge or hands-on experience with Python , ImageJ , and/or MATLAB is highly beneficial for image processing and data analysis. Communication : Excellent written and spoken
-
analysis. You have a strong interest in online privacy, data protection, identity management, the human factor in computing, and the ethical and societal implications of technology. You are curious about
-
combination with Monte Carlo radiation simulation toolkits such as Geant4 and its application, GRAS (Geant4 Radiation Analysis for Space). ESA is a signatory member of the international Geant4
-
approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies, while supporting the development of pathways and theories of change; develop reproducible
-
data analysis workflows. In addition you: have obtained, or are on track to obtain, a PhD with first or co-author publications/preprints in the respective field; you are able to work independently as
-
clinicians on improving cancer care. In the role you will combine data analysis using clinical registries, evidence synthesis, participatory research with patients and clinicians, applied modelling, and