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structuring of river systems. Familiarity with software and tools for simulating river network dynamics, such as R, Julia, Python, or GIS-based hydrological modeling platforms. Ability to integrate physical
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modelling and observations, you will develop simulations that support both scientific insight and practical applications. Your job Plastic items larger than a few centimeters (macroplastics) are a very
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. This role focuses on the aerodynamic modelling of floating wind turbines and their dynamic response under realistic wind and wave conditions. You will conduct high-fidelity CFD simulations of floating
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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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thermoplastic feedstocks for FDM printing Programming of an existing hybrid FDM printing machine, including printing and milling devices Modelling and optimization of the debinding process Simulation-based design
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theoretical and computational soft-matter physics and biophysics. The successful candidate will work primarily with Dr. Matej Kanduč on research topics related to molecular dynamics (MD) simulations
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
USNH Employees should apply within Workday through the Jobs Hub app The research position(s) are within the broad area of biophysics, structural modeling, and molecular dynamics (MD) simulations
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the