50 postdoc-data-mining Postdoctoral positions at Northeastern University in United-States
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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disease dynamics, preferably with applications to emerging or re-emerging diseases; Proficiency in programming languages such as R, Python, MATLAB, C++, or similar tools for data analysis and model
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. Excellent verbal, and written communication skills, attention to details, as well as training in research methodology and quantitative data analysis. Knowledge and skills required for this position
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for organizing, processing, and reporting data. Will demonstrate flexibility in adapting methods/skills according to evolving project priorities. Provide independent experimental design and follow up planning
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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%); Perform various laboratory management tasks (5%); and Train graduate students (10%). Position Type Additional Information Northeastern University considers factors such as candidate work experience
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. Responsibilities: This postdoctoral position will involve participating in existing studies, leading independent research, as well as conducting analysis of existing data, which can range broadly from psychosocial
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proposals (25%); Perform various laboratory management tasks (5%); and Train graduate students (10%). Position Type Additional Information Northeastern University considers factors such as candidate work
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management ● Supervising and coordinating undergraduate research assistants ● Helping to mentor masters and doctoral students ● Designing experiments, collecting data, analyzing and writing papers