-
European perspective. The project will be supervised by prof. Hemme Battjes and dr. Martijn Stronks. Your duties learn to independently conduct high-quality research, culminating in PhD thesis; collaborate
-
) and phenotypic data with artificial intelligence and machine learning techniques. Phenotypic data will include data from available strain collections with sequenced strains and information
-
the aforementioned areas and apply these methods in relevant empirical studies. During these four years, the PhD candidate will also follow PhD-level coursework and will be expected to teach. Your duties Perform high
-
experiments using state of the art thermochronometric and cosmogenic radionuclide techniques. Learn and develop skills to use and implement open-source computational models in Python Use model-data comparison
-
you are bright, enthusiastic, work well in a team, are eager to learn, and of course that you are enthusiastic about this intriguing project! As a university, we strive for equal opportunities for all
-
Preferably with a background in theoretical physics, statistical, soft or biological physics Experience with using inference/machine learning tools and basic programming is a plus As a university, we strive
-
Requirements Bachelor/Master in physics or chemistry Affinity for atomic, molecular, or optical physics. Most important is that you are bright, enthusiastic, work well in a team, are eager to learn, and of
-
location and interactions of these proteins, characterize their biochemical and structural properties, and determine their roles in virulence. For this, you will learn and use a wide range of state