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communication skills in English (verbal and written) Preferred qualifications · Experience with fluorescence or live-cell imaging · Hands-on experience with microfabrication and microfluidics · Familiarity with
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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identifying real households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models
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sources, optical metrology, microscopy, and wavebased information processing. This project is part of the CHAIN consortium. CHAIN (Coherent Algorith-based Imaging of Nanostructures) brings together experts
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robotic platforms, integration of optical and imaging-based feedback, and development of modeling and control strategies for operation in complex biological environments. Particular attention will be given
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. Bert Koopmans, based at Eindhoven University of Technology. PhD candidate 1 will explore fundamental processes underlying the deterministic creation and annihilation of sub-diffraction limited skyrmions
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seaweed ecology for species recognition with collection material. You will develop a multimodal workflow on integrating hyperspectral imaging, X-ray fluorescence, and RGB images. You will be given ample
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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develop robust image-processing and multi-modal fusion methods, extract quantitative crack descriptors, and integrate these into an interactive software tool that supports conservators in documentation
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an individual ESA Member State or Associate Member under a bilateral partnership agreement concluded with ESA. As a result, a representative of the sponsoring State participates in the selection process. In