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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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of optical oxygen sensors, establishment of protocols for sensor calibration, mechanical tests of in situ experimental platforms, data management, organization of shipping and logistics for fieldwork
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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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the above fields demonstrated strength within computer implementation of numerical algorithms be creative, solution oriented and able to work both independently and in research teams be ambitious and have a
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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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working alongside world-renowned scholars, including Uri Gneezy (University of California) and Antoine Malézieux (Burgundy School of Business). About the Position: As a postdoctoral researcher, you will
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are looking for a part-time IT supporter to help us integrate sensors and automate data acquisition in our CO₂ electrolyzer setups. Responsibilities The position focuses on IT-related tasks that support
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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