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studies of jets, bubbles and air entrainment in complex fluids. The work will involve designing and running experiments, using high-speed imaging and rheological characterisation techniques, analysing data
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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vocalizations. We will combine large-scale electrophysiological recordings with functional 2-photon imaging to shed light onto the neuronal circuits that drive lateralization of auditory functions. More generally
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, the most promising prediction algorithms will be experimentally compared. In the last four months, tests will be carried out to evaluate the performance of the solution produced and a prototype. Where
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, data acquisition, Ethernet based field buses, machine vision, AI, C / C++, software development, advanced Imaging, spin off. The Mechanical Engineering department of the VUB is looking for a PostDoc
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requisition for exam to be performed. Takes appropriate scans to determine areas of possible pathology. Modifies testing parameters, under direction, to ensure accurate imaging. Processes and archives images in
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be found on our website https://www.ucl.ac.uk/biosciences This is an exciting opportunity to join the Cox Lab in the UCL Centre for Integrative Anatomy. The successful applicant will conduct research
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nanoplatforms for photothermia and magnetic imaging. Nanoscale Adv. 6, 126–135. https://doi.org/10.1039/D3NA00700F Lucas, T., Linger, C., Naillon, T., Hashemkhani, M., Abiven, L., Viana, B., Chaneac, C., Laurent
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approach to technical challenges. Previous experience with mouse in vivo experiments is necessary. Previous experience with neuronal activity optical imaging, particularly head-fixed imaging, is desirable
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. Ouyang is a physician-scientist and cardiologist with subspecialty expertise in non-invasive imaging and technical background in programming, statistics, and deep learning. As a statistician by training