Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of Oregon
- Wageningen University and Research Center
- ;
- Arizona State University
- DAAD
- Imperial College London
- Lulea University of Technology
- Lunds universitet
- Prof. Ruilin Pei and Shenyang University of Technology
- Technical University of Denmark
- Technical University of Munich
- University of Cambridge
- University of Luxembourg
- University of New Hampshire – Main Campus
- University of Oslo
- University of Texas at Austin
- 7 more »
- « less
-
Field
-
USNH Employees should apply within Workday through the Jobs Hub app The research position is within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
-
failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
-
). The goal of this collaborative project is to model the entire lifecycle of offshore wind turbines—construction, operation, and decommissioning—within a comprehensive digital twin framework. Your tasks As a
-
. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
-
Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in
-
. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
-
infections. Through pioneering research in advance synthesis, chemical glycobiology, immunology and structural biology and biophysics, the network aims to deepen our understanding of the biosynthesis processes
-
of this state-of-the-art facility, which is expected to be fully operational by 2035/2036 and will include advanced laboratories for diagnostics and research, cutting-edge biosafety systems, and complex technical
-
electromagnetic simulation techniques and incorporate the characteristics of new materials to design motor structures, and perform multi-objective optimization aimed at enhancing motor efficiency, power density
-
professionals, government agencies, and non-profit organizations in Portland and around the globe. Department strengths include energy-efficient buildings, timber construction, housing design, and urbanism