30 physical-engineer "Data driven Materials Modeling" Postdoctoral positions at Northeastern University
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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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energy-innovation technologies. Applying catalysis and reaction-engineering approaches, the role targets low-carbon fuel pathways—such as hydrogen, ammonia, synthetic and electro-fuels, sustainable
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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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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multiple projects, and deliver at a high level. This work integrates gene therapy, chemical conjugation, and quantitative transport modeling to engineer charge-guided delivery systems for dense, negatively
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-generation communication infrastructures. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start date
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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Required PhD in chemistry, physics, materials science, chemical engineering, bioengineering, or a closely related field Strong problem-solving skills and a high level of self-motivation Experience with
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Architectures of Spontaneous versus Precipitated Opioid Withdrawal: Self-Exciting Point-Process Models of Continuous Home-Cage Behavior Across Genetically Diverse Mice. The project encompasses building behavior
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: Self-Exciting Point-Process Models of Continuous Home-Cage Behavior Across Genetically Diverse Mice. The project encompasses building behavior based indices of opioid withdrawal with the goal