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Peoria, Quad Cities, Rockford, Springfield, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be
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22 Jan 2026 Job Information Organisation/Company Aveiro University Department Mechanical Engineering Department Research Field Engineering » Mechanical engineering Engineering » Computer engineering
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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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, advanced high-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative
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-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative disciplines
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computer skills, strong work ethics, and accountability. Must be able to lift 100 lbs. to waist height. Preferred Qualifications: Previous Endoscopic Technician or Patient Care Technician experience. Patient
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Analyze dynamical states of spiking complex neuron networks with respect to network topology and neuron parameters Development of learning rules considering the strong non-linearities of the neurons
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Dependent on Experience/Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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biodiversity and restoration. As a Research Assistant, you will contribute to case studies focusing on key environmental parameters, including surface temperature, soil moisture, water table levels and total
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collected by moored probes, underwater gliders and micro-AUVs and shipborne sampling. Furthermore, parameters describing atmospheric variability and riverine inputs will be included in the analysis to better