Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- University of Amsterdam (UvA)
- Wageningen University & Research
- University of Twente
- Maastricht University (UM)
- University of Twente (UT)
- Leiden University
- Radboud University
- Radboud University Medical Center (Radboudumc)
- KNAW
- Wetsus - European centre of excellence for sustainable water technology
- Erasmus MC (University Medical Center Rotterdam)
- University Medical Center Utrecht (UMC Utrecht)
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Amsterdam UMC
- DIFFER
- Eindhoven University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- RiboPro B.V.
- University Medical Centre Groningen (UMCG)
- University of Groningen
- 15 more »
- « less
-
Field
-
Set up and run simulations to increase our understanding about the factors that influence the change in genetic variance components in populations under selection. Support the postdoc with developing and
-
into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
-
project is comprised of 2 PhD positions and 2 postdoc positions which will be filled during the period September 2026 - September 2031. You will join a collaborative research group that also includes PhD
-
Specific Requirements We are looking for a highly motivated candidate with a MSc degree in a relevant discipline (e.g. Molecular/Cell biology, Biomedical Sciences, Molecular Sciences, Life Sciences
-
to a corpus of geo-analytical scenarios with questions and corresponding workflows; collaborate closely with another PhD candidate (question modelling), a postdoc (GeoQA reasoning engine) and a technical
-
of roots, nodules, and tubers, using reference genotypes and by manipulating abiotic factors (e.g. temperature, water, N). You will conduct molecular and cellular analyses using histology, microscopy, single
-
bulk to confinement on crystallization dynamics of mixed salts under various climatic conditions, focusing on special ion mixtures common in weathered stone. Performing systematic studies in
-
: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning
-
, the various disciplines collaborate intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science
-
skills. Fluent in English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will