Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Groningen
- Leiden University
- Radboud University
- University of Twente
- Utrecht University
- Wageningen University and Research Center
- Eindhoven University of Technology (TU/e)
- Leiden University; 's-Gravenhage
- Max Planck Institute (MPI) for Psycholinguistics
- University of Twente (UT); Enschede
- Wageningen University & Research
- European Space Agency
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT)
- Eindhoven University of Technology (TU/e); Eindhoven
- Leiden University Medical Center (LUMC)
- Leiden University; Leiden
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Radboud University Medical Center (Radboudumc); Nijmegen
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Utrecht University; Utrecht
- 19 more »
- « less
-
Field
-
screening, and screening workflow. Finally, we will work closely with industrial partners that are involved in every aspect of breast cancer image interpretation in screening, including AI, image analysis
-
composite propellers. Competence in the measurement and analysis of guided waves. Experience with embedded piezoelectric sensors in composites. Strong mathematical background and experience with numerical
-
-sensitive upscaling and implementation of hydrogen production, storage and transport. The candidate will employ system- and discourse-analytical tools, along with institutional analysis, to map values and
-
resource efficiency and reduce environmental impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms and kinetics using experimental studies and process
-
). What are you going to do Conduct a literature review, including a social media feature analysis. Evaluate the impact of (dis)engagement design features. Design and implement intervention studies
-
strategies (e.g. predictive or machine learning approaches) to improve performance and reduce costs. Collaborating with industrial partners on design optimization, life-cycle analysis, and business case
-
cutting-edge research is conducted to optimize resource efficiency and reduce environmental impacts in metal industries. The MPRR research team specializes in the elucidation of reaction mechanisms and
-
affinity with the study of metabolism and analysis of omics data proven proficiency in programming experience with machine learning and, ideally, federated and/or deep learning methods intermediate to high
-
on design optimization, life-cycle analysis, and business case development. Publishing results in journals and conferences, and engaging with stakeholders through workshops and demonstrations. The position is
-
: a strong academic record (PhD) in bioinformatics, computer science or a related subject affinity with the study of metabolism and analysis of omics data proven proficiency in programming experience