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responsible for teaching in the following areas: introduction to civil engineering (first-year Bachelor's level), computer-aided design and digital modeling (CAD, Revit), structural analysis and strength
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tissue clearing, immunostaining, and live/fixed sample mounting. Experience with AI-based image analysis; Willingness and availability to embark on a doctoral program within the next 12-18 months in
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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interactive materials. They also oversee the image acquisition process, monitoring intellectual property ramifications and obtaining permissions as needed to secure images, video, and audio for public museum
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degrees: A Master's or engineering degree in robotics, AI, computer science, embedded systems, computer vision, or mechatronics. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6285-FLOLHO
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31 Aug 2026 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Biological sciences » Biology Medical sciences » Veterinary medicine Biological sciences
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Fund (FEDER), through the Centro Regional Program 2021-2027 (Centro 2030), by Portugal 2030 and by the European Union | Notice Code: Centro2030-2024-59 | Operation code: CENTRO2030-FEDER-02360600. VI.V
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Imaging Mass Spectrometry 102983
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designs, techniques and their implementations which are of material significance in addressing important problems). Excellent computer skills and excellent communication skills to effectively interact with
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California Institute of Regenerative Medicine (CIRM) COMPASS and Bridges Science Master’s Program. Students in our department benefit from data science and coding training through the PINC (Promoting