Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Wageningen University and Research Center
- University of Twente (UT)
- Utrecht University
- Wageningen University & Research
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus University Rotterdam
- Leiden University; Leiden
- Maastricht University (UM)
- Radix Trading LLC
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Twente
- Wageningen University & Research; Wageningen
- 8 more »
- « less
-
Field
-
covers high energy physics (elementary particle physics, quantum gravity, string theory), cosmology and gravitation, statistical physics (granular matter, chaos theory, critical phenomena) and condensed
-
, the Royal Netherlands Institute for Sea Research (NIOZ), TU Delft, Statistics Netherlands (CBS), Naturalis, and several other academic partners. The project also engages a diverse group of stakeholders in
-
limit, we see continued opportunities with our strategy of using statistical research to outsmart the competition. Job description As a Quantitative Researcher, your focus is on identifying trading
-
motivation to gain experience in) quantitative methods and statistical analysis; excellent analytical proficiency and conceptual understanding; strong communication, presentation, collaboration, networking and
-
quantitative skills (analyses of long-term data, modelling and statistical analyses, ideally in the R environment) . Is proficient in English and meets the university’s English language requirements (https
-
and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
-
identity. The project will make use of prehistoric ceramic assemblages from the FDP and consist of a wide scope of methods including stylistic, scientific and statistical approaches. The goal of the project
-
on the following key questions: Analysing Centralization and Accessibility: Using population data from real world data sources such as cancer registries and data from the central bureau of statistics, the PhD
-
) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
-
) assembly using colloidal systems as inspiration and with links to topic (1). The typical approach in the team is interdisciplinary, ranging from synthetic chemistry to statistical physics. The Feringa group