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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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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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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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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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application! Work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning
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, preferably from neuroimaging or behavioral studies Knowledge of signal processing and statistical analysis Excellent communication skills and ability to work in a collaborative environment Preference will be
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Position Summary Responsible for developing and applying workflows to analyze organic contaminants like pesticides, pharmaceuticals, and disinfection by-products that have been accumulated on point
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor
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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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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