557 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Northeastern University in United States
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About the Opportunity The School of Law of Northeastern University seeks part-time lecturers to teach courses for the on-ground JD program in the areas of law to be determined by curricular and
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of Health Sciences. With 35 full-time faculty and another 50 part-time faculty, this department houses a Doctor of Physical Therapy Program and Master’s and PhD programs in Human Movement and Rehabilitation
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Analytics program aims to foster foundational analytics skills among working professionals, including data preparation, data analysis, transformations, modeling, prediction, forecasting, optimization, data
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opportunity to mentor and work with a team of undergraduate research assistants on a variety of projects. The position is ideal for someone planning to apply to a PhD program and for someone with
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About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling, architectural history, technology, or project case studies
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for Drugs, Biologics, and Medical Devices and/or Graduate Certificate Program(s) in US, International, or Medical Device Regulatory Affairs. This position is located at the Northeastern University Toronto
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and will hold office hours as appropriate. Qualifications: PhD in bioinformatics, biology, or a closely related field. Experience with the application of computational methods to biological problems
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hours per week. Qualifications: Master's degree in related field, PhD candidates preferred At least two years of experience teaching in a higher education environment Demonstrated commitment to student
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. Documents to Submit: Cover letter briefly describing candidate's background and specific interests Curriculum vitae (CV) that includes PhD completion date Teaching philosophy statement List of three
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling