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development. Candidates may be eligible for hire as part-time lecturers for the 2026 summer terms on a per-course basis. Responsibilities: Postdoctoral Teaching Associates teach 3 courses per semester in First
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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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responsibilities, but there is an opportunity to teach if desired. The preferred starting date is September 1, 2025. Position Type Research Additional Information Northeastern University considers factors such as
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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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research group. We are particularly targeting candidates whose interests and expertise intersect with the following project areas: Topic 1 - Perceptual Learning-based interventions focused on improving
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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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, policymakers, and advocates. Programming skills are essential (we mostly work in Python, though other languages are welcome), as is a strong grasp of statistics and an eagerness to learn more. Recommended
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learning/AI, and science of science, as well as quantifying art. The BarabásiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression
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University. As a Postdoctoral Research Associate, they will acquire valuable research skills and advance their scientific career. Our group also engages in other dark matter search experiments, SuperCDMS
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contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will have the opportunity to engage in