51 parallel-computing-numerical-methods research jobs at Technical University of Denmark in Denmark
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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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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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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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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
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commercial activities. The PhD position is based in the Section for Bioinformatics, which focuses on developing and applying computational methods to solve complex problems in genomics, systems biology, and
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to computational tools like RFdiffusion, ProteinMPNN, or AlphaFold. Experience with mammalian cell culture in two and/or three dimension Ability to perform biochemical and imaging methods Strong analytical skills
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such as mechanical exfoliation and stacking, as well as characterization methods including AFM, SEM, and optical microscopy. Experience with advanced nanofabrication techniques such as e-beam lithography
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to mucosal dysfunction. Mucins remain underexplored despite their significant role in numerous health conditions, making this a high-risk, high-reward research opportunity. You will explore novel therapeutic