Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Zintellect
- UiT The Arctic University of Norway
- Gulbenkian Institute for Molecular Medicine
- KINGS COLLEGE LONDON
- Nanyang Technological University
- National University of Singapore
- Universidade de Coimbra
- University of Nottingham
- Harvard University
- INESC ID
- Indiana University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- RMIT UNIVERSITY
- Rudjer Boskovic Institute
- Simons Foundation/Flatiron Institute
- The University of Alabama
- UCL;
- University of Alabama, Tuscaloosa
- University of Oslo
- University of South-Eastern Norway
- University of Texas Rio Grande Valley
- University of Texas at Austin
- CNRS
- CRANFIELD UNIVERSITY
- Cold Spring Harbor Laboratory
- Deakin University
- FCiências.ID
- Faculdade de Medicina da Universidade do Porto
- Hiroshima University
- Hokkaido University
- Humboldt-Universität zu Berlin
- INEB - Instituto Engenharia Biomedica
- Institute of Physical Chemistry, Polish Academy of Sciences
- King's College London
- Leibniz
- Marquette University
- New York University
- Paul Scherrer Institut Villigen
- REQUIMTE - Rede de Quimica e Tecnologia
- RMIT University
- SciLifeLab
- Stockholms universitet
- The University of Queensland
- Tsinghua University
- Universidade Católica Portuguesa - Porto
- Universidade Nova de Lisboa
- University of Leeds
- University of Massachusetts
- University of Nottingham;
- University of Stavanger
- University of Tartu
- 42 more »
- « less
-
Field
-
Simulation group to apply classical Molecular Dynamics and Machine Learning approaches for development of a new class of hybrid polyphenol-lipid nanoparticles with tuneable internal structure and exploration
-
Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT's Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning approaches
-
at the RMIT Melbourne CBD campus About the Role We are seeking a Postdoctoral Research Fellow to join RMIT’s Materials Modelling and Simulation group to apply classical Molecular Dynamics and Machine Learning
-
simulations, particularly Monte Carlo simulations and molecular dynamics simulations. Ability to code and run simulations on supercomputers. The College of Science seeks a diverse and inclusive workforce and is
-
to upload any additional documents to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high-performance computing demonstrated by peer-reviewed publications
-
simulation (Molecular Dynamics and enhanced sampling techniques). Additional optional skills and qualifications: Experience in complementary techniques such as molecular docking and force field
-
environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how molecular structure, charge, and surface
-
(GHGs), by greatly improving the accuracy of spectral line data, traceable to the International System of Units (SI). The candidate will develop molecular dynamics simulations to investigate refined
-
expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how
-
expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how