29 finite-element-method Postdoctoral positions at Technical University of Denmark in Denmark
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that are intractable with existing methods. The project is hosted within the Section for Quantum Physics and Information Technology (QPIT) at DTU Physics and the Cybersecurity Engineering Section at DTU Compute
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the Villum Experiment project “Engineering an extracellular vesicles-based transfection method for challenging-to-transfect cells” led by Dr. Weihua Tian. This position offers an exciting opportunity
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methods. By joining us, you will contribute to cutting-edge experimental research, work in state-of-the-art quantum optics laboratories, and collaborate closely with leading international partners in
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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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Engineering Technology We work at the forefront of university-industry collaboration and develop tools and methods for technology implementation. We are organized in 7 sections all focused on technology
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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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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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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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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