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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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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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behavior, human-computer interaction, psychology, computer science or related disciplines to work on research projects on human-AI interaction. Increasing ability to generate human-AI interaction data needs
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implement independent research projects. Strong skills in data analysis, visualization, and scientific writing are required. These skills are normally acquired through a Ph.D. in Physics, Network Science
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written communication skills. -Attention to detail and training in research methodology and quantitative data analysis. -Recent or upcoming Ph.D., or equivalent degree, in Cell Biology, Molecular Biology
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well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard
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& transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion
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a network perspective. The ideal candidate has working experience in network science/bioinformatics and ML/AI/DL. Position Type Research Additional Information Northeastern University considers