36 postdoc-density-functional-theory-dft Postdoctoral positions at University of Cambridge
Sort by
Refine Your Search
-
(e.g., DFT modelling), or solid-state NMR spectroscopy. Excellent communication skills, a collaborative approach, and the ability to work independently are also key requirements for this position. A
-
not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
-
research, publications and other research outputs. The purpose of this role is to assist with the data collection and analysis for this project, including research in archives based in the United States
-
Goldstein FRS to work on experimental aspects of (a) the biomechanics of multicellular choanoflagellates and (b) the growth and mechanics of the extracellular matrix in green algae, supported by
-
. The research undertaken includes the interpretation of collider data and theory support for LHC phenomenology and future colliders. The Research Associate will be working on beyond the Standard Model
-
A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum
-
. The role will be based at Douglas House, Department of Psychiatry, Cambridge, and in Oxford, at Akrivia Health (where the postdoc will be seconded to), with the option of working flexibly for one/two
-
, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate
-
(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
-
the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g