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Field
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are seeking to appoint a Postdoctoral Research Associate with experience of structural biology techniques to join Dr Paul Elliott’s Lab to investigate the mechanisms of ubiquitin signalling within inflammation
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administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. Application Process Applications for this vacancy are to be made online via
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required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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vision research. The department fosters interdisciplinary collaboration, addressing real-world challenges through innovative machine learning, data science, and intelligent systems research. About the role
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desirable that the candidates have strong knowledge in at least one of the following research directions: 1) array signal processing 2) Radio channel sounding, estimation, and modelling 3) Integration design
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at the University of Minnesota Medical School (Twin Cities) seeks to appoint a talented postdoctoral trainee in the field of endothelial cell calcium signaling. The Junge lab studies neurovascular signaling and
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Electrical Engineering, Computer Science, or a related field Strong background in speech processing, signal processing or machine learning Proficiency in Python and deep learning frameworks Experience with far