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employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more
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quantum chemical methods and machine learning; developing quantum algorithms for computational chemistry on quantum computers; and applying existing and new computational methods to study multiscale
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that these properties covary with genotype. This project aims to (1) assess and understand the potential structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3
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will join Prof. Annika Schoene’s research group (https://meronymlabs.com/) in Charlotte, North Carolina, and contribute to research at the intersection of NLP methods, AI safety, and high-risk
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Strong Python skills and experience with data manipulation Basic machine learning knowledge (equivalent to at least an introductory course) Additional skills (nice-to-haves) Experience with website
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machine learning techniques to raw ultrasound data. The project involves developing novel algorithms that integrate physics, engineering, and AI to extract meaningful and clinically relevant information
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learning approaches (Roux) to evaluate novel biomarkers for ADRD. Minimum Qualifications PhD in Computer Science, Engineering, Bioinformatics, Biomedical Data Science, or a related field Experience in
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machine learning and computational methods Work with medicinal chemists for drug discovery projects Act as key member of a multidisciplinary drug discovery project team, assisting with development
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-oriented mindset Ability to receive and provide feedback Willingness to learn and take on new challenges Strong passion for and commitment to MPF’s mission of delivering resources to underserved youth and
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical