48 programming-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions at Northeastern University
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on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences
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LinkedIn, Facebook, Instagram, YouTube and Twitter/X. Responsibilities Early Development Fellowship Description: Early Development comprises Clinical Pharmacology (CP), Modeling & Simulations (M&S), and
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● Experience mentoring undergraduate research assistants. ● Experience with coding qualitative data. ● Familiarity with mental modeling, fuzzy cognitive mapping, concept mapping, or some comparable
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integration, etc.. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.. Minimum Qualifications A Ph.D. in computer
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using advanced quantitative methods, including computational modeling, machine learning, and analyzing structural and functional neuroimaging data. Candidates can apply online at NU Careers: They must
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will support efforts in Pharmacometrics (PMx). The Fellow will be embedded within Moderna’s Clinical and Quantitative Pharmacology (CQP) function and will contribute to key modeling and simulation
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, by employment start date. Preferred Experience operating electrochemical flow reactors, preferably for CO2 reduction; candidates with proficiency in reactor modeling will also be considered in lieu
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(HTA) submissions, and payer-facing value communication materials Support health economic modeling (e.g., cost-effectiveness and budget-impact models) and systematic literature reviews Collaborate
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, handling, and experimental work under strictly anaerobic conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis
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learn the role of Global Medical Affairs, develop skills in the analysis, interpretation, and communication of clinical data, and expand their scientific knowledge to render clinical insights and