42 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at Technical University of Denmark in 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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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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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
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modern construct design and protein engineering tools, including PCR and molecular cloning Expertise in recombinant protein expression and purification using analytical and preparative methods (e.g. FPLC
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challenges, particularly in low- and middle-income countries (LMICs) where surveillance systems are often limited or lacking. Traditional laboratory-based methods, widely used in high-income countries