22 image-processing-postdoc Postdoctoral positions at Northeastern University in master
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language processing, and data harmonization, with applications in biomedicine and related domains. The Postdoctoral Research Associate will collaborate closely with graduate and undergraduate students, scientific
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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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Electrical and Computer Engineering, Mathematics, Computer Science, or equivalent. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience
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About the Opportunity Summary: Research involves developing and implementing material models to predict microstructure, phase change and residual stress in processes in high energy processes in
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cover all aspects of the drug discovery process. The Postdoctoral Research Associate will receive professional development training, gain valuable networking experience, and collaborate with scientists in
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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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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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— 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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of iPSCs and immunology techniques like flow cytometry. Experience with rodent CNS surgery, including vagus nerve stimulation, is an asset. Applicants should be highly motivated and creative, have excellent
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework