Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- CWI
- Utrecht University
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- University of Twente (UT)
- Wageningen University and Research Center
- 2 more »
- « less
-
Field
-
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
-
comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
-
The PhD position is embedded in the research programme of Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by dr. J.A.M. de Grefte, prof. dr. B.P. de Bruin and
-
for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
-
the Netherlands, offering diverse programs across various disciplines. Located in the lively and historic provincial capital, the university has a vibrant international community, with students and staff from all
-
Fellowship Programme (EVOLVE – EVOLVE Fellowship Programme), an initiative by six world-leading research institutes of two universities in The Netherlands (University of Groningen, Leiden University) to study
-
publications, conference presentations, and ultimately a PhD thesis. The PhD thesis has to be completed within four years. Being part of a cutting-edge research programme, you will receive research training as
-
formation via modifications to sedimentary redox reactions and sediment stabilisation, providing microenvironments favorable for organic matter preservation. A personalised training programme will be set up
-
research in TRL forward. Theoretical knowledge of, or experience with, machine learning such as representation and generative learning, and natural language processing. Programming skills, e.g. Python, Java
-
/or human-computer interaction. Programming skills, e.g. Python, Java, or C++. Excellent command in English, verbal and written. Prior experience as a research assistant during (under)graduate studies