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. This degree prepares students for entry and mid-level roles in analytics, machine learning, data science, data engineering, and AI. These roles are general across professional domains (e.g., biomedical
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. These roles are general across professional domains (e.g., biomedical, healthcare, finance and insurance, robotics, government, education, etc.) and disciplines (e.g., business, marketing, engineering, etc
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Apr-26 Location: Oakland, California Type: Part-time Categories: Academic/Faculty Biological/Biomedical Sciences
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applied mathematics, mathematical biology, chemical engineering, biomedical engineering, physics, systems pharmacology, or related quantitative discipline. Strong experience in mathematical modeling and
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leadership in Quantitative Clinical Pharmacology and Pharmacometrics. Quantitative Systems Pharmacology (QSP) Candidate PhD in applied mathematics, mathematical biology, chemical engineering, biomedical
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to device design, control, and evaluation The ideal candidate will lead their own project, and support the engineering efforts for several PhD student led projects. Qualifications MS in Mechanical Engineering
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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Center (NUBIC) within the Institute for Cognitive and Brain Health (https://cbh.northeastern.edu/ ) in the Interdisciplinary Science and Engineering Complex at Northeastern University (https
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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to the department, university, and discipline. Qualifications Applicants must have a PhD , ScD (or equivalent) in Applied Mathematics, Biology, Computer Science, Engineering, Physics, Psychology, Public Health