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advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You will work closely with colleagues both
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and nanostructuring, all guided by advanced AI algorithms to optimize and understand the optical properties of light-trapping surfaces. (more information can be found in the following News post ). You
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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, data-driven methods based on omics. Techniques applied will comprise advanced 4D cellular and molecular imaging (e.g. lattice lightsheet SIM, genetically encoded sensors for subcellular and synaptic
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Position Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025
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advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics, which are utilized
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: Algorithms for the analysis of orthomosaics with the purpose of locating unwanted / weed plants Software for automating processing of large data sets (quality control, orthomosaic generation, and analysis
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developing and deploying an ocean‑monitoring system for offshore installations. The research will integrate optical and acoustic sensors, autonomous data collection, and advanced perception methods to track
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] that trap light to reduce the number of controllable components. Our long-term goal is to develop a general-purpose PIC platform, so we welcome applicants interested in sensors, optical communications, AI
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within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, and bio-photonics. Technology for people DTU develops technology for