38 molecular-modeling-or-molecular-dynamic-simulation PhD positions at University of Groningen in Netherlands
Sort by
Refine Your Search
-
particles have many unique shapes not encountered for bacterial and eukaryotic viruses. We focus on the infection strategies of archaeal viruses and study the molecular mechanisms underlying essential steps
-
, irregular, and highly dynamic computational tasks. Realising computing systems based on technologies like FeFETs require the design of architectures suitable for real-life problems. Moreover, appropriate
-
-volatile silicon devices that enable innovative architectures to efficiently execute complex, irregular, and highly dynamic computational tasks. Realising computing systems based on technologies like FeFETs
-
investigating the theoretical foundation of their properties. The research in the Roos lab ranges from molecular to systems size levels. In particular, we study the structure and dynamics of supramolecular
-
of their properties. The research in the Roos lab ranges from molecular to systems size levels. In particular, we study the structure and dynamics of supramolecular assemblies of both natural as synthetic origin
-
environment effects on senescence, using an epigenetic clock”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah Dugdale (University
-
or multiple fields relevant to the Evolve Doctoral Programme, such as (bio)chemistry, (bio)physics, molecular biology, computational science, systems biology, evolutionary biology, ecology, astrophysics
-
-year NWO M1-funded PhD position for a project on “Social Ageing: Social environment effects on senescence, using an epigenetic clock”, with the Seychelles warbler (Acrocephalus sechellensis) as a model
-
advanced operational strategies, such as model-predictive control, tailored to dynamic prosumer energy demand. Foster collaboration: Work closely with industrial and research partners, including CENAERO
-
. As part of this PhD, the candidate will: Conduct an integrative review of established competency models Create assessment tools (which may include use of AI tools) to measure CLMA proficiency