42 parallel-computing-numerical-methods Postdoctoral positions at Technical University of Denmark
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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
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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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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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 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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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
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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