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candidate will focus on implementing efficient and scalable data storage modes for large-scale mass spectrometry (MS) data and on development of improved and interactive visualization of MS data. In addition
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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, cell types, and developmental stages, and how synaptic interactions may contribute to tumor progression. Ongoing projects include developing next-generation subcellular proteomic tools to map synaptic
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leverages the novel single-asperity nanoscratch method and other advanced AFM modes to visualize the mechanism of nanoplastic release and to identify unique nanoscale properties that result in health impacts
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of target species, and 2) identify and map the risk of interactions between sea turtles and fishing gear. Main tasks: - Processing accelerometric/gyroscopic and acoustic signals related to the fine behaviors
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and guidance system for these micro-swimmers, interacting with real-time optical visualization in a microfluidic network. • Study of the fidelity of the movement of micro-swimmers to the set trajectory
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and associated textual information. By integrating visual and language modalities, these models aim to improve the speed, accuracy, and efficiency of interpreting complex MRI scans, ultimately
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; managing and analyzing large-scale databases, including neuroimaging data and cognitive assessments; good writing skills with a track record of published manuscripts; software skills for data visualization
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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of this role is to develop foundation models that can be applied downstream to clinical triaging tasks—helping prioritise cases based on MRI imaging data and associated textual information. By integrating visual