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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. Postdoctoral Research position: Proteomics and Drug Development. The Chemical and Biochemical Sciences-Green Process
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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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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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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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biomedical sciences focused on cell motility and the cytoskeleton, muscle signalling, stem cells and developmental biology. About the role Manipulating a morphogen in time and space A morphogen is a special
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Cell or Molecular Biology, Immunology or a related subject. Applications of PhD students who already started the RD1 procedure in 2025 are accepted. Experience of mammalian cell culture (both primary and
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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conducting clinical or preclinical proof-of-concept studies Preferred: Experience in physiological signal processing and the application of machine learning to biomedical data Background in computational
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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning