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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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applications for the position of Research Assistant in Invasive Pest Genomics. The intern will contribute to the efforts of an NSF-funded project (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2418203
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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must have significant computational and applied statistical skills that can be applied to modeling and forecasting the spread of infectious diseases. They must be able to handle, process, and analyze
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— including social epidemiologists, data scientists, and policy researchers — and will be involved in all aspects of the research process, including: Analyzing rich datasets for publications Developing and
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
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are also expected to drive a paradigm shift in medical device security regulation, moving evaluation away from individual components and toward system-level thinking across vast networks of interacting
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About the Opportunity The Research Assistant (Neuroinformatics) in the Computational Optics and Translational Imaging (COTI) Lab at Northeastern University will support NIH-funded projects focused
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and ML pipelines for drug synergy, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is