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Field
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time-of-flight secondary ion mass spectrometry (ToF-SIMS), scanning electron microscopy (SEM), and X-ray diffraction (XRD). Experience in data reduction of big spectroscopy, mass spectrometry, and image
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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radiation in fields such as ultrafast spectroscopy, imaging, materials science and semiconductor research. HHG Beamline User Operation Actively participate in the preparation and execution of user experiments
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning
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. The successful applicant will work primarily on two projects: Second Opinion Program: Evaluating a model designed to reduce unnecessary lumbar spine surgery and improve return-to-work outcomes for injured workers
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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging
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. The successful applicant will work primarily on two projects: Second Opinion Program: Evaluating a model designed to reduce unnecessary lumbar spine surgery and improve return-to-work outcomes for injured workers
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
appropriate, development of reproducible computational workflows for processing and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and