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experience with PyTorch. You have a track record of publishing in top image processing / computer vision journals. Your research qualities are in line with the faculty and university research policies . You
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sophisticated machine learning tools for image processing Experience in mathematical modelling Knowledge in comparative neuroscience (comparative vertebrate neuro) Proficiency in basic computer packages (eg
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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several universities and industrial partners, the research will focus on developing new catalytic materials and processes for the synthesis of sustainable fuels from CO and CO2 via the Fischer-Tropsch
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to in vivo calcium imaging studies characterising modality-specific sensory encoding and applying neuroanatomical tracing and activity-dependent genetic labelling to map central connectivity of carotid
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) microscopy, FLIM, STED, lattice lightsheet microscopy, fluorescence correlation spectroscopy (FCS), image processing and analysis and spectral imaging. More information about the ABIF can be found at: http
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metal matrix composite (MMC) coatings. You will help fill critical knowledge gaps in process monitoring, optimisation, and control for laser cladding, contributing directly to the development of a cost
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process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Circulation and Medical Imaging
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for its expertise in correlative imaging and materials science. To advance our microplastics research, we are looking for a highly motivated Postdoctoral Researcher with strong expertise in fluorescence