30 biosignal-processing-machine-learning Postdoctoral positions at Northeastern University
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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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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clinical collaborators and lab personnel. Collect, process, and analyze neurophysiologic and biomechanical data, including transcranial magnetic stimulation, EMG, quantitative sensory testing, and isokinetic
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About the Opportunity SUMMARY The lab of Professor Albert-László Barabási is looking for Postdoctoral Research Associates in the area of network science, nutrition, biological networks, machine
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific
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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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aviation fuel, and fuels derived from biomass, waste plastics, or carbon dioxide (CO₂)—spanning catalyst and process development, reactor design and scale-up, and performance and techno-economic assessment
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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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
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Associate to lead the research operations of The Future of Higher Education and Work at Northeastern University: Personalized Learning for Students and Customized Career Preparation , a study funded by the