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or interpolated years; d) Proof of academic qualifications completed by the deadline for applications, including those resulting from academic degree recognition processes. Preferential factors: • Experience
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laboratory experience is preferred but not required. Proficiency with standard computer applications (e.g., Excel, Power Point, GraphPad, Adobe Photoshop and ImageJ analysis) is essential. The ideal candidate
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
. - COMPETE2030-FEDER-00731800, Operation No. 16163, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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of aerospace engineering and mechanics in the nation. Detailed Position Information The Department of Aerospace Engineering and Mechanics (AEM: https://aem.eng.ua.edu ) and the College of Engineering (CoE
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of Mechanical Engineering (ME: https://me.eng.ua.edu/ ) and the College of Engineering (CoE: https://eng.ua.edu/ ) at The University of Alabama (UA: https://ua.edu/ ) invite applications for tenure-track and
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complex processes, policies and transactions within the University across multiple schools and departments, and divisions. In addition, this role provides internal/external operational training, as
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whether the current visit is the patient's initial visit to the clinic; verify the client's credit status with the clinic, and add new patient fee when appropriate. Perform all processes associated with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
. Description: This project involves the development of new technologies for ultraviolet (UV) instrumentation and systems. Successful candidates will utilize thin-film processing and nanoscale interface
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teaching mission. This position will also contribute to library instruction. MSU welcomes a broad array of experiences and perspectives and is committed to continually supporting, promoting, and building
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probabilistic graphical models, causal inference techniques, statistical physics, information theory, machine learning, signal processing, and optimization to address complex communication and social science