Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- NIST
- AALTO UNIVERSITY
- Argonne
- Delft University of Technology (TU Delft)
- ETH Zurich
- National University of Singapore
- Oak Ridge National Laboratory
- Technical University of Denmark (DTU)
- CEA
- CNRS
- Chalmers University of Technology
- Free University of Berlin
- Montanuniversität Leoben
- National Energy Technology Laboratory (NETL)
- North Carolina State University
- Princeton University
- Stony Brook University
- The University of Manchester
- University of Glasgow
- University of North Carolina at Chapel Hill
- University of Texas at Dallas
- Aarhus University
- Basque Center for Applied Mathematics
- CIC energıGUNE
- Central Michigan University
- Goethe University Frankfurt
- Harvard University
- ICMAB
- ICN2
- INM - Leibniz-Institute for New Materials gGmbH
- Imperial College London
- Institute of Fundamental Technological Research Polish Academy of Sciences
- KTH Royal Institute of Technology
- Max Planck Institute for Sustainable Materials •
- Nanyang Technological University
- SUNY University at Buffalo
- St Jude Children's Research Hospital
- Stockholm University
- UNIVERSITY OF VIENNA
- University Muenster
- University of Amsterdam (UvA)
- University of Birmingham
- University of California
- University of Lille
- University of Nottingham
- University of Nottingham;
- University of South Carolina
- University of Southern California
- University of Sydney
- University of Vienna
- Uppsala universitet
- Zintellect
- 42 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
the molecular mechanisms responsible for the nuanced signaling paradigms of GPCRs and how they lead to vastly different biological outcomes. Gaining atomistic insights into receptor-ligand interactions will allow
-
-state hydrogen storage and compression technologies. A key aspect of the role will be the computational discovery, design, and modelling of metal (complex) hydrides using state-of-the-art atomistic and
-
Materials. The learning objectives for this project are: (1) use atomistic simulation software and AI/ML techniques on sensing materials database development, (2) analyze the modeling results, and (3) learn
-
through the link between controlled atomistic structure and the resulting functional properties. These include, for example, topics such as material synthesis (including new sustainable synthesis methods
-
design rules to understand their chemistry and physics. You will combine coarse-grained and atomistic simulations with surrogate models and experimental insights (with Dr. Baumgartner) to understand
-
, including their microstructure and their in-plane and out-of-plane texture. He/she will also be responsible for coordinating exchanges with the University of Helsinki. The candidate will implement atomistic
-
-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, are jointly hiring a Doctoral Researcher. In this position, you
-
of Chemistry and Materials Science, Aalto University, and the Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University
-
training in first-principles electronic-structure and excited-state methods (density functional theory and the GW and Bethe-Salpeter-Equation approaches), machine learning for atomistic simulation, and high
-
. For emerging low-dimensional (D) materials controlling the function at an atomistic scale is the key for their application in optoelectronics. Among them, 2.5 D materials (a combination of (twisted) layered