Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Leiden University
- Maastricht University (UM)
- Wageningen University & Research
- University of Twente (UT)
- Utrecht University
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- University Medical Center Utrecht (UMC Utrecht)
- University of Groningen
- Amsterdam UMC, location VUmc
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Centrum Wiskunde en Informatica (CWI)
- Delft University of Technology
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Naturalis
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- 13 more »
- « less
-
Field
-
framework for the temporal integration of Earth system models with observational data from our spatially distributed sensor network (ITEM), as well as Earth observation imagery. With this framework, you will
-
expertise in adsorption and/or water treatment. Job requirements Need-to-haves: MSc in water treatment, Environmental Engineering or a related field. Laboratory skills for basic water analysis and willingness
-
undergoing digital transformation. This will include interviews with executives, IT leaders, digital transformation leads, project managers, and site teams; document and data analysis; and, where possible
-
offers an excellent opportunity to contribute to the national Open Science agenda while advancing research on transparency, reproducibility and responsible research practices. Where to apply Website https
-
feedback. Classroom implementation and evaluation. Support and co-lead pilot studies in real CBL classrooms; contribute to data collection, analysis, and interpretation of the agent's performance, attending
-
-engineering activities, as well as the team’s other main research lines (for example AI for guidance, navigation and control, unconventional computing and mission analysis), via the ACT website (https
-
academic and non-academic audiences. These research phases are as follows: Informed by the preceding qualitative phase, we will collect novel survey data. We will apply Correlational Class Analysis to
-
better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
-
cellular targeting and lamella preparation of frozen-hydrated biological specimen on a unique instrument, with the aim of enabling efficient and reproducible structural analysis of molecular complexes in
-
description of cell wall strains and stresses and turgor pressures with sets of ordinary differential equations describing the biochemical networks regulating cellular decision making. Models will be initiated