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at the forefront of nano-optics and nanophotonics within the Vectorial Nano-Imaging research unit at Istituto Italiano di Tecnologia, led by Dr. Antonio Ambrosio. The research activity focuses on the investigation
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ICT Services & Applications. Your role The successful candidates will join the Computer Vision, Machine Intelligence and Imaging research group, led by Prof. Djamila Aouada, to conduct research in
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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, and operation of ADS present a series of technological challenges to be overcome. In particular, the reactor's reactivity must be measurable online; otherwise, the ADS cannot be operated. Indeed, since
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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magnetic microscopes for contactless imaging of the magnetic field induced in biological tissue samples. Our aim is to build the world’s fastest, most sensitive microscope capable of resolving magnetic
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workflows (e.g., Kilosort, SpikeInterface) and neural data quality control Experience with imaging data processing, anatomical or functional registration, and 3D planning/reconstruction for recording
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Utilize multi-photon optical imaging to study neuro-vascular coupling in the mammalian brain
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parasite mutants, antibodies, spatial proteomics, real-time and super-resolution imaging, we will reveal essential protein domains and characteristics, will identify interacting protein partners and will