Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- CNRS
- AALTO UNIVERSITY
- NIST
- Nature Careers
- CIC energiGUNE
- Chalmers University of Technology
- Forschungszentrum Jülich
- Michigan State University
- University of Sheffield
- Austrian Academy of Sciences, The Human Resource Department
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- CEITEC MU
- Cardiff University
- Central Michigan University
- Chalmers tekniska högskola
- Dip. Ingegneria meccanica e aerospaziale-Sapienza Università di Roma
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- Empa
- FAPESP - São Paulo Research Foundation
- Faculty of Science, Charles University
- Harvard University
- ICN2
- Institute of Photonic Sciences
- Iowa State University
- Johns Hopkins University
- Leibniz
- Leiden University
- Linköping University
- Luxembourg Institute of Science and Technology
- Max Planck Institute for Sustainable Materials •
- Newcastle University
- The CoReACTER (@ University College Dublin)
- The University of Texas at Dallas
- UCL
- Universitat Autonoma de Barcelona
- University of Cambridge;
- University of Glasgow
- University of South Carolina
- University of Texas at Dallas
- University of Turku
- University of Warwick;
- Università degli Studi di Trieste
- Universität Heidelberg
- Université de Caen Normandie
- Université de Poitiers
- Uppsala universitet
- 37 more »
- « less
-
Field
-
of these structures, thereby mediating replication, repair, transcription, and DNA damage response through protein barriers. Peptides from helicase motifs can be used to investigate atomistic details of G4-Helicase
-
methods to simulate between functional chemically active surfaces and molecules/liquids. Central methodologies include: static DFT calculations; TBMD and AIMD; classical atomistic and coarse-grained
-
the study of nucleation mechanisms, the analysis of out-of-equilibrium energy and thermodynamic balances, and the validation of results by comparison with experimental data and atomistic simulations
-
selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel
-
addressable spin qubits in molecules as a powerful platform for combining optical/microwave spin manipulation with the atomistic control afforded by chemistry [e.g., Science, 370, 1309 (2020); Phys. Rev. X 12
-
. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by
-
molecular dynamics simulations across multiple resolutions, most likely from the atomistic to the coarse grained level, using a variety of force fields and computational methods. Run large-scale simulations
-
for candidates with interests in multiscale simulations of complex physical phenomena, from the atomistic/electronic scale to mesocopics and beyond. Of particular interest is the development and application
-
of residuals at the atomic scale and how they interact with other alloy additions, with migrating and transforming boundaries. This grant will bring together atomistic modelling (at Imperial College), atomic
-
atomistic simulation methods, such as molecular dynamics, density functional theory, and machine-learning force fields, to elucidate the deformation mechanisms activated by external stimuli. The candidate