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functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics
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About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the education and training
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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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expected to develop and lead projects. Ideal candidates will have knowledge of population genomics, machine learning, and evolutionary theory. Candidates should have a strong track record of publication; be
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and international scientific conferences and other scientific forums. QUALIFICATIONS A PhD degree with a focus in pharmacokinetics, pharmacology, pharmaceutics or other related field. Hands
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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Northeastern University Founded in 1898, Northeastern University is a private research university located in the heart of Boston. Northeastern is a leader in worldwide experiential learning, urban engagement
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in