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great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 179558 . You will be required to upload your curriculum vitae and a
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experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles and frameworks, in particular, experience conducting usability studies and designing user
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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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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics
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datasets and demonstrate familiarity with statistics software packages, such as Stata and Python. Knowledge about computer text analysis is also desirable. Excellent written communication skills are required
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, statistical signal processing, optimization theory, machine learning and artificial intelligence. The candidate is expected to actively participate in experimental work focused on building datasets of channel
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Sciences-Green Process Engineering (CBS) at the University of Mohammed VI Polytechnic, Benguerir, Morocco, is seeking applicants for a Post-Doctoral position in Genomics and Bioinformatics/Computational
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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
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and sophisticated research techniques examining inflammation-related signaling by intestinal epithelial cells, with a focus on innate immune cell–host epithelial cell cross talk and the inflammatory