Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- ETH Zürich
- Justus Liebig University Giessen •
- Nantes Université
- Nature Careers
- University of Nottingham
- University of Texas at El Paso
- Ariel University
- BCBL - Basque Center on Cognition, Brain and Language
- CEITEC MU
- Cranfield University
- Delft University of Technology (TU Delft)
- European Synchrotron Radiation Facility
- Fundación IMDEA Nanociencia
- MASARYK UNIVERSITY
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- Technical University Of Denmark
- The University of Manchester
- The University of Manchester;
- University of Exeter
- University of Southern Denmark
- University of Stavanger
- University of Strathclyde
- University of Warwick
- 15 more »
- « less
-
Field
-
the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
-
resolved (polarized, low-temperature) absorption and photoluminescence spectroscopy, and a good knowledge in the use of density functional theory calculations of these materials. Job description We
-
the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
-
. Responsibilities and qualifications The main focus of the job is to do computational research using Density Functional theory calculations to understand spin-mediated promotion effects in heterogeneous catalysis
-
software (e.g., Gaussian, Dalton, TurboMole) is highly desirable. Experience in Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TD-DFT) are desirable assets. Strong analytical
-
Physics, or a related discipline. Experience with recognized computational chemistry software (e.g., Gaussian, Dalton, TurboMole) is highly desirable. Experience in Time-Dependent Density Functional Theory
-
energy density matter , High Energy Experimental , High Energy Physics , high energy physics or mathematical physics , High Energy Theory , High Energy Theory Group , High Performance Computing
-
of materials science, combining ab initio density-functional theory (DFT) calculations with novel ML methods. You will develop ML-assisted computational screening methods, building highly accurate models
-
understanding of neutron scattering and magnetism; Experience with density functional theory; Experience in statistics and programming. • Manual skills and rigorous attention to detail are essential in this work
-
enzyme active site density functional theory (DFT) ‘cluster’ or QM/MM models. The Hough group at Diamond develops methodologies for ambient temperature, time resolved macromolecular crystallography and