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capable of complex reconfigurable functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device
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controls protocols as well as regulatory compliance (USDA/AAALAC). The Primate Nursery unit is of seasonal nature since birthing/delivery season occurs during spring and summer months (March through August
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activities, without formal teaching duties. Specialists apply advanced expertise in areas such as neuroimaging, electrophysiology, molecular neurobiology, or computational modeling to advance the university’s
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: simulation and risk modelling using advanced statistical and machine learning based methods. strategic portfolio management and dependency structure modelling for financial assets. effects of climate change
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thinking, and has a strong background in cognitive/computational neuroscience or related fields. Relevant areas of expertise include neuroimaging (fMRI), behavioural testing, and computational modelling
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Scripps Institution of Oceanography, UC San Diego | La Jolla, California | United States | 21 days ago
university-controlled properties. The UC San Diego Annual Security & Fire Safety Report is available online at: https://www.police.ucsd.edu/docs/annualclery.pdf . This report provides crime and fire statistics
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. Some positions may require additional job-based screenings such as motor vehicle report, credit check, pre-employment drug screening and/or verification of academic credentials. https://www.usg.edu/hr
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three-dimensional cancer models (organoids, tumour-on-chip, spheroids, etc) or primary neutrophils would be advantageous; Excellent command of English, both spoken and written; Strong organizational and
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disease (AD), Parkinson's disease and other forms of neurodegeneration. We are particularly interested in synaptic injury. We work with animal models (mostly mice) and with patients in the hospital, and
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Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid