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Regular/Temporary Temporary Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoc fellows are being sought to apply quantitative fluorescence imaging
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Robot Vision research environment. The role is aligned with the EPSRC OASIS Hub and will contribute to research in AI for advanced endoscopic imaging and computational imaging for interventional
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postdoctoral fellow in Spectroscopy You will conduct cutting-edge research at the intersection of BioImaging, BioOptics, and seaweed ecology for species recognition with collection material. You will develop a
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of
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recognition elements. Experience applying machine learning to spectral data (Raman, LC–MS, or similar). Experience working on translational or industry-linked research projects. Where to apply Website https
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project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses
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outside academia. The tasks include extensive use of optical diagnostics, such as: Near and far field high-speed microscopic imaging Chemiluminescence-based techniques Schlieren imaging and shadowgraphy
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/2026 , published in Diário da República, 2.ª Série, n. 96, 19rd May, hereinafter referred to as the Regulations no. 43, of 03rd March; the legal framework for the recognition of academic degrees and
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with programming in Python is a requirement Experience with telecentric particle imagers, image analysis, and machine learning for particle recognition is an advantage Experience of working with wave