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after stroke and use of high-risk medicines · Integrated health and aged care · Rehabilitation for older people The PhD will provide the candidate with skills in epidemiology, big data
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Big Picture Learning Credential (IBPLC) as a rigorous, equitable pathway into college admissions. The project — a partnership between Northeastern, Big Picture Learning U.S. (BPL U.S.), Big Picture
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This
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accepting applications for 1-2 fully-funded postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical
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postdoc requires scientific qualifications at the PhD level in a relevant field. You must be able to demonstrate a track record in big data analytics in, or closely related to, the substance use field
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and collaborative adventure. Required
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motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis Expertise in machine learning, including building and deploying prediction models Strong data
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& Statistics. Applicants should have a PhD in any relevant social science disciplines, computer/data science, or other related fields. The postdoctoral fellow will be part of a cross-institute and cross-school