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Field
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Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining CubeSat technology Base
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for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance
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mechanisms of insulin resistance, with particular emphasis on the role of the sympathetic nervous system (SNS) in metabolic homeostasis. The work of the lab challenges the conventional paradigm by
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outputs Contribute to ethics submissions, governance processes and regulatory requirements Collaborate with academic, clinical and consumer stakeholders across the project Support supervision and mentoring
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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imaging instrumentation and methods including subdiffraction fluorescence imaging methods and multimodal fluorescence and infrared imaging methods. Developing these methods includes designing and building
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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degree at the time of hire in the field of Electrical Engineering and with expertise in applied electromagnetic and microwave imaging algorithm development. 3 years of experience in applied
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employs a multidisciplinary experimental toolkit that includes: In vivo two-photon imaging of identified neuronal populations in awake mice, auditory behavioral assays, ex vivo brain-slice imaging and
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-affiliated with the Yale Stem Cell Center, the Department of Comparative Medicine, and the Department of Surgery, providing a highly collaborative and multidisciplinary ecosystem. The position is ideal