Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Utrecht University
- Wageningen University and Research Center
- Leiden University
- Radboud University
- University of Twente
- Erasmus University Rotterdam
- CWI
- Universiteit van Amsterdam
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology
- Eindhoven University of Technology (TU/e)
- KNAW
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- 7 more »
- « less
-
Field
-
) 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
-
imaging. Strong analytical skills and experience with medical imaging technologies and data analysis. The ability to work collaboratively in multidisciplinary teams and communicate effectively across
-
terms of fieldwork, participation in consortium meetings, and to the analysis and writing of the shared output. The candidate is expected to contribute actively to the Marine Ecology Lab. Group and the
-
skills in analytical chemistry, preferably mass spectrometry. Knowledge of instrumental residue analysis of (plant) toxins is preferred; you have excellent communication skills, both oral and written; a
-
expertise in healthcare, technology, and quantitative analysis. Using data from the TopTreat consortium, you will identify prognostic markers to support personalized treatment, and assess their health
-
an overview of your experience with molecular dynamics, density-functional-theory, machine learning, coding skills, theoretical solid mechanics, numerical analysis. The official transcripts of your BSc and MSc
-
proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
-
group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, indexes for interactive data analysis
-
related field; experience with numerical modelling, preferably hydrological modelling; affinity with delta systems, adaptation and policy analysis; motivation to work in interdisciplinary scientific
-
part of a collaborative research team with partners from the Norwegian Polar Institute and Alfred Wegener Institute. This position offers opportunities to develop skills in satellite data analysis