Sort by
Refine Your Search
-
Listed
-
Employer
- Radboud University
- University of Groningen
- Wageningen University & Research
- Erasmus University Rotterdam
- Maastricht University (UM)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Amsterdam (UvA)
- Utrecht University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 7 more »
- « less
-
Field
-
image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
-
through cutting-edge research? Are you a dedicated researcher in the field of business or organizational psychology with expertise in advanced methods and statistical techniques (e.g., longitudinal data
-
-based statistics, Computational Biology, and expertise in Analytical Chemistry, Biomedical Sciences, or a related field, would be a plus. The main required expertise and skills are Bioinformatics analysis
-
and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
-
, the department is actively engaged in advancing statistical models and software development for analyzing cross-sectional, longitudinal, and multilevel network data. The ideal candidate will be an early-career
-
statistics, in particular causal inference. You will research Bayesian causal inference for high-dimensional data, coming up with new methods and deriving theoretical results such as Bernstein-von Mises
-
emerging adults. These models are tested using extensive longitudinal data sets. In addition, the department is actively engaged in advancing statistical models and software development for analyzing cross
-
opportunity to contribute to develop your own research ideas. Key Responsibilities Apply state-of-the-art statistical analyses to existing data (including from the i-DETECT study) and report your findings in
-
laboratory analyses related to soil biota, stable isotopes, and soil carbon. You will also perform statistical analyses on existing datasets and write scientific publications. You will present your research
-
advanced statistical methods, machine learning algorithms, and data visualization techniques to analyze complex datasets. Integrate and interpret multi-omics data to identify key biological pathways and