560 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Northeastern University
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(5%) REQUIRED QUALIFICATIONS Degree – Minimum of PhD degree in Physics, Biology, Bioengineering, or Chemistry is required, or in a field that is relatable to the Nanoscale Biophysics Laboratory’s
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. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs. Responsibilities: Looking for a qualified candidate to teach Master's Program courses in
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of ethics statements and policies as outlined by Apra and other related associations. Proficient computer skills, including the Microsoft Office suite of products and internet research. Experience working
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and weekends Proficiency with basic office technology and computer systems (Microsoft 365) Preferred Qualifications Experience with housing management databases (RMS Mercury preferred) Experience with
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 07-Sep-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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theme development, creation of technical content, and ensuring that the program budget and schedule are competitive yet realistic; ensuring that funded programs are exceptionally executed, with a focus on
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/18/2025. The teaching load is six courses for the academic year (three courses in fall 2025 and three courses in spring 2026). All courses will be taught on-site. Qualifications: A PhD in Economics or
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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faculty lecturer in the Foundation Year Program - College Writing. Foundation Year is a first year college program for students from the City of Boston. The introductory writing course in Foundation Year is
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems