Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Wageningen University & Research
- Delft University of Technology (TU Delft)
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- Maastricht University (UM)
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA)
- University of Twente
- Erasmus University Rotterdam (EUR)
- Leiden University
- Max Planck Institute for the Study of Crime, Security and Law; Published yesterday
- Tilburg University
- University of Twente (UT)
- Wageningen University and Research Center
- 8 more »
- « less
-
Field
-
) a statistical package (e.g., Stata or R). Excellent command of English. Applicants whose native language is not English are therefore required to demonstrate English proficiency by: – proof
-
developed models will be applied to estimate design flood events for different return periods and flood types. With metrics based on flood statistical aspects, the type-specific models will be compared
-
experience in pytorch and/or tensorflow) knowledge of statistical methods and programming (R and Python) prior experience in machine learning and ideally also on applications in the health domain and/or
-
postdoctoral researcher, who focuses on the data-driven development of micromagnetic modelling tools, as well as with a PhD candidate focusing on the paleomagnetic information stored in (statistical) ensembles
-
of statistics. Programming expertise in Python, or similar languages, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent communication skills in English, both
-
statistical models to predict treatment response; optimizing individualized rTMS targeting using neuronavigation and computational modeling; designing and conducting n-of-1 trials embedded in routine clinical
-
, alongside advanced understanding of genetic resource conservation and forest ecology. Technical proficiency: Experience with GIS, databases, and genetic and statistical methodologies; familiarity with R is
-
strongly preferred Strong interest in wellbeing and beyond GDP Knowledge of statistical and spatial analysis methods and tools, or willingness to learn Proficiency in English, both spoken and written We
-
, NVivo). Proficiency in Excel, SPSS, and other statistical tools. Full fluency in English; proficiency in Dutch is highly desirable. Ability to communicate complex findings to diverse audiences. Excellent
-
quantitative research methods (e.g., statistical analysis, survey design). An interest in EU health data governance, including the EHDS regulation, and health information systems. Excellent written and spoken