Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Radboud University
- Erasmus University Rotterdam
- Vrije Universiteit Amsterdam (VU)
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam (EUR)
- ;
- KNAW
- Leiden University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- University of Twente
- Wetsus - European centre of excellence for sustainable water technology
- DIFFER
- Delft University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- 13 more »
- « less
-
Field
-
for hands-on experimental characterization techniques and data analysis. Skills in programming (e.g., Python, MATLAB) and simulation tools. Expertise in photonic integration is not a must, but having relevant
-
exploitation of PRIDE (Planetary Radio Interferometry and Doppler Experiment) observations by developing and applying open, reproducible analysis pipelines for deep-space mission tracking. You will be embedded
-
, electronics, experiment control software; some experience with data analysis; strong letter of recommendation from master project supervisor; beneficial skill: programming, including some languages of
-
not be considered. Screening is part of the selection process. About the department The candidate will join the Design and Analysis of Communication Systems DACS group at the University of Twente
-
(demonstrated through projects, thesis work, or experience) in one or more of the following: reverse logistics and circular supply chains in the built environment, business model analysis and multi-stakeholder
-
state-of-the-art electronic, optical and vacuum equipment. In addition, it will be required to perform data analysis and programming for experiment control. You will present your work in scientific
-
quantitative methods – You’re comfortable with data analysis and statistical techniques. We encourage you to outline in your application letter in what way you have demonstrated the required skills. What we
-
-waiting – were successful spies in seventeenth-century England. This is what Nadine Akkerman describes in her book Invisible Agents, the first analysis of the role of female spies in the seventeenth century
-
the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic
-
academic activities with creativity and rigour, and demonstrate a proactive approach to empirical research, analysis, and writing. Your work combines a strong theoretical grounding with applied knowledge