60 web-programmer-developer "PhD Jobs.NET" Postdoctoral positions at Stony Brook University
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module development. ● Assist in proposal development, group outreach, and student mentoring. ● Contribute to the development of new training courses. ● Other duties as assigned. Special Notes
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disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we investigate the mechanisms that regulate proliferation
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disease. Our research program focuses on identifying mechanisms involved in the progression of chronic kidney disease. Specifically, we investigate the mechanisms that regulate proliferation
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of electrophysiological, calcium imaging and video based kinematic data as well as developing biology informed self-supervised learning models. Within the predetermined research scope and methodology, conduct research
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to develop indicators to help assess the health of the New York Bight pelagic ecosystem and understand the ecology of the broader Northwest Atlantic. Successful candidates will have strong written and oral
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to develop indicators to help assess the health of the New York Bight pelagic ecosystem and understand the ecology of the broader Northwest Atlantic. Successful candidates will have strong written and oral
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. Traditional small-signal stability analysis methods are insufficient for evaluating large disturbances such as faults and disconnections. This project focuses on developing and validating computationally
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of electrophysiological, calcium imaging and video based kinematic data as well as developing biology informed self-supervised learning models. Within the predetermined research scope and methodology, conduct research
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. Experience in organic synthesis focused on methods development and/or catalysis. Preferred Qualifications: Candidates are expected to have a strong synthetic organic background, preferably with experience in
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are insufficient for evaluating large disturbances such as faults and disconnections. This project focuses on developing and validating computationally efficient methodologies for large signal stability analysis