43 parallel-computing-numerical-methods Postdoctoral research jobs at Technical University of Denmark in Denmark
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of advanced methods for activity-based simulation models and machine learning methods in transportation. You will work in close collaboration with colleagues, and with academic partners in Europe. Your primary
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Energy our research is targeting exactly this, and we are looking for a postdoc to numerically aid our team in the design of biomagnetometers. It is possible to get a deeper understanding of how the brain
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Job Description Would you like to join a team that supports the green energy transition by developing wind turbine response and validation methods and solutions? We are seeking a highly motivated
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will involve developing and applying advanced data analysis methods to investigate ionospheric electrodynamics using novel datasets, including those from the EISCAT 3D radar system and NASA's Electrojet
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will develop algorithms and methods aimed at better detection and mitigation of GNSS interference events from either jamming or spoofing attempts. In addition to research within GNSS integrity
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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ultrasound scanner capable of performing real-time 3-D super-resolution imaging of the microcirculation in humans. The scanner is based on the methods developed in the SURE ERC synergy grant project for Super
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Nanolab cleanroom characterize the micro- and nanoelectrodes with electrochemical methods develop an optoelectronic motherboard for optical actuation and electrochemical readout contribute with supervision
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Nordisk Foundation and led by Associate Professor Mikkel Schmidt (DTU Compute). In LightTrap , we will use AI to accelerate the discovery of new optical materials and that enhance the performance of thin