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that will help solving outstanding questions at the forefront of (photo)chemistry by implementing automated spectroscopy workflows for molecular systems and thin films in combination with AI-driven process
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photomedicines? In this project, you will build a self-driving laboratory platform that will help solving outstanding questions at the forefront of (photo)chemistry by implementing automated spectroscopy workflows
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, robust and cost-effective solutions suitable for industrial deployment remain limited. Next-generation recycling systems will combine multiple sensing techniques (e.g., optical sensing, spectroscopy, and
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of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global scale. Increasingly, our work integrates AI and machine
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, spectroscopy) Data analysis, where programming (e.g., R, Python, Matlab) is considered a big plus Transferable skilss Open to learn and develop Pro-active and problem-solving mindset Ability to break-down and
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internationally renowned peer-reviewed journals Skills in the synthesis of organic ligands and their transition metal complexes Skills in photochemistry and/or spectroscopy Excellent written and oral
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in photochemistry and/or spectroscopy Excellent written and oral communication skills in English Experience with supramolecular chemistry is a plus What we offer Our goal is to work together to create
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methods and modelling approaches applied to the full range of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global
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building robust optical circuits incorporating new types of elements. These include gain media, active positioning elements such as piezos and stepper motors, cavities, spectroscopy cells, photonic