Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Groningen
- SciLifeLab
- NTNU - Norwegian University of Science and Technology
- Leibniz
- Umeå University
- ; Bangor University
- ; UWE, Bristol
- ; University of Reading
- Curtin University
- DAAD
- Institut Pasteur
- KNAW
- Leiden University
- Lulea University of Technology
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Chemical Ecology, Jena
- Nature Careers
- RMIT University
- Swedish University of Agricultural Sciences
- Texas A&M University
- Trinity College Dublin
- University of Adelaide
- University of Lund
- University of Southern Denmark
- University of Tübingen •
- Wageningen University and Research Center
- 16 more »
- « less
-
Field
-
Organisation Job description The Groningen Institute for Evolutionary Life Sciences (GELIFES) offers a 4-year NWO-funded PhD position for a project on “Adaptive social flexibility – a powerful
-
PhD: Adaptive social flexibility – a powerful mechanism to cope with a rapidly changing world (V25.0210) « Back to the overview Job description The Groningen Institute for Evolutionary Life Sciences
-
only laborious and time-consuming, but also cover only a miniscule fraction of the unimaginably large sequence space available. As a result, means to guide evolutionary trajectories along a biomolecule’s
-
package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
-
such as Prolific. Some knowledge of computational modelling and predictive analytics, such as cross-validation or evolutionary agent-based models. Residency requirements: This studentship is primarily aimed
-
archaeology, and material culture from a long-term perspective. The Department of Natural History conducts research in systematics and taxonomy, evolutionary genomics, phylogeography, population genetics, and
-
plant development computational biology bioinformatics genomics and proteomics microbiology and microbiome science ecology evolutionary biology Our concept is supported by the facilities available
-
Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
-
You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
-
identify key enzymes in the cell wall biosynthesis and identify evolutionary paths. Biochemical analyses will highlight changes in the microalgal cell wall in response to stress. You will further investigate