Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- European Space Agency
- Erasmus University Rotterdam
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology (TU Delft)
- Leiden University
- Maastricht University (UM)
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University of Twente (UT)
- AMOLF
- Amsterdam UMC
- Delft University of Technology
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- Radix Trading LLC
- Zuyd University
- 11 more »
- « less
-
Field
-
for single-cell and spatial omics Deep learning and representation learning to model cellular states and interactions Explainable AI for biomarker discovery and patient stratification Cross-disease modeling
-
cases. We are particularly interested in how AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services
-
the kinetics of the relevant redox reactions on multiple electrode surfaces to unravel the relationship between chemical composition and performance, using a wide variety of electrochemical and analytical
-
person with a genuine passion for both fundamental and applied research. You are curiosity driven, and have strong analytical and problem-solving skills. You are eager to learn new skills to combine
-
compensation, reward or job structuring topics (hands-on experience is a plus, not a requirement) Have approximately 3–5 years’ experience in a broad HR role Are analytically strong and comfortable working with
-
to synthesise complex technical and programmatic information and to make pragmatic, timely and high-quality decisions with integrity. excellent cognitive, analytical, delegation, planning and organisational
-
performance within and across teams throughout the organisation; demonstrated excellent leadership, relationship management and communication skills, both oral and written; excellent cognitive, analytical
-
should also have good technical, analytical, organisational and reporting skills, a proactive attitude to solving problems and an interest in innovative technologies. In-depth knowledge of security and the
-
sustainable solutions in facilities management Data analysis and reporting: proficiency in FM tools and analytics for performance monitoring and improvement Event management: expertise in planning and running
-
PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40