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15 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Engineering » Electronic engineering Physics » Optics
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. The successful candidate should demonstrate scientific curiosity, rigour, initiative, and an ability to work in an interdisciplinary environment. Experience in optics, high-speed imaging, image processing
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, PyTorch), Machine-learning mathematics and algorithms. Experience in Imaging systems (e.g. microscopy), and optical laboratory experiments (lasers/lenses) Funding and eligibility Open to UK, EU and
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PhD Position: High resolution Transmission Electron Imaging in Scanning Electron Microscopy Job description Scanning Electron Microscopy (SEM) is one of the most widely used imaging tools in
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, MATLAB, or similar) Experience with CAD tools for photonic design Knowledge of optical coherence tomography or biomedical imaging LanguagesENGLISHLevelGood Additional Information Benefits Funding: PhD
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candidate will benefit from a network of European experts in different fields (gene therapy, pharmacology, bioinformatics, disease modeling, imaging) and will have the possibility to visit other labs in
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to life in breakthrough experiments—please reach out. "Quantum nanophotonic chips" "Structured-light imaging and spectroscopy” “Meta-optics and meta-waveguides" "2D materials and Lightwave valleytronics
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Zealand and Italy. "Structuring x-ray light to investigate the macro and microscale" "Dark-field x-ray imaging without optics" "Adding time to the X-ray Fokker-Planck Equation" (with Prof David Paganin
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PhD thesis student (f/m) at ESRF and University of Bath to study CO₂ capture by coupling X-ray Raman
Reference Number NS26-ESRF02 Is the Job related to staff position within a Research Infrastructure? No Offer Description Context & Job description Thesis subject: Coupling X-ray Raman and optical Raman
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much more information present in microscopy images than is commonly perceived by eye. We harvest this information, developing novel methods to characterize cellular populations at single-cell resolution