172 postdoctoral-position-in-molecular-dynamic-simulation PhD positions in Netherlands
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
audiences; enthusiasm to be part of a team and actively contribute to a dynamic, engaging, and collegial academic environment. Our offer A position for one year, with an extension to a total of four years
-
research findings for wider audiences; enthusiasm to be part of a team and actively contribute to a dynamic, engaging, and collegial academic environment. Our offer A position for one year, with an extension
-
involves two positions: One PhD position on root fly-cabbage-microbiome interactions, and one PhD position on aphid-pepper-microbiome interactions. Cabbage root flies and aphids are major agricultural pests
-
Applications are invited for a fully funded four-year PhD position in the field of prehistorical archaeology of northwestern Europe. The project will study how local prehistoric farming communities
-
for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
-
. After a positive evaluation, the agreement will be extended by 30 months. The gross monthly salary, for a PhD student on a full time basis, is € 2,968 during the first year and increases to €3,801 over
-
, model compression, and custom hardware acceleration to advance the state of the art in edge LLM. This position offers a unique opportunity to be at the forefront of technological advancements that promise
-
PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
and terms of employment The position starts on 1 January, 2026. We offer a position for 12 months and upon satisfactory performance to be extended for three more years. You will be appointed in
-
Organisation Job description Organisation Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education
-
to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and