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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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About the Opportunity The College of Social Sciences and Humanities and its nine tenure units are the home of the Experiential Liberal Arts. Through its research, teaching, and engagement missions
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work in the group, checkout out the group website. https://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering
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to collaborative projects that explore the intersection of complex systems and public health. Qualifications PhD in a related discipline (e.g., epidemiology, applied mathematics, statistics, or network science) by
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
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procedures. This project will take place alongside ongoing research at the intersection of complex systems and data science. Research in the &-Lab is interdisciplinary and highly collaborative, and we work
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to disseminate research results QUALIFICATIONS Applicants must have (or be about to receive) a PhD in physics, biophysics, systems biology, applied mathematics, bioengineering, chemistry, chemical engineering, or
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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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that are of mutual interest outside of this specific adversarial collaboration. Our laboratory is an advocate of Open Science best practices and modern statistical methods, and offers an enriching, collegial
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. CV with a list of publications. Names and contact details for 2 references. QUALIFICATIONS PhD in network science, physics, big data, behavior modeling, urban science, complex systems, machine learning