19 material-science-and-engineering "https:" Postdoctoral positions at Northeastern University
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findings in peer-reviewed publications; Ability to work collaboratively across clinical and engineering teams. Normally acquired through a PhD in rehabilitation science, neuroscience, biomedical engineering
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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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performance. Minimum Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated
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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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, Chemistry, Materials Science, or a closely related field Knowledge of catalysis, reaction kinetics, thermodynamics, and reactor/reaction engineering relevant to fuel synthesis and energy conversion Ability
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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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. Minimum Qualifications Required PhD in microbiology, biochemistry, chemical engineering, or a related field. Demonstrated publication record of scientific findings in peer-reviewed journals. Experience
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, Chemistry, Materials Science, or a closely related field Knowledge of heterogeneous catalysis, reaction kinetics, thermodynamics, and structure–reactivity relationships Ability to design and operate catalytic
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scientific independence, initiative, and accountability Ph.D., or foreign equivalent, in Chemical Engineering, Environmental Engineering, Environmental Science, Chemistry, by employment start date. Preferred
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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