46 phd-in-concrete-and-structural-engineering Postdoctoral positions at Northeastern University
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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strategies. The candidate will join the Machine Intelligence Group for the Betterment of Health and the Environment (MIGHTE) led by Prof. Mauricio Santillana. MINIMUM QUALIFICATIONS PhD in a quantitative field
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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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interested in the physical processes involved in the translation of genetic information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools
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, materials science, chemical engineering, bioengineering, or a closely related field. The candidate should have strong problem-solving skills and be highly motivated. Programming skills (Python or Fortran
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100% externally funded and will be reappointed on an annual basis based on performance. Qualifications A successful candidate will hold a PhD in environmental sciences or related fields. Strong record
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to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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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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will hold a PhD in environmental sciences or related fields. Strong record of peer-reviewed publications Excellent verbal and written communication skills, attention to detail, and training in research
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling