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Systems Research (CCSR) at Columbia University’s Climate School invites applications for a Postdoctoral Research Scientist position. The postdoc will help to develop an agent-based model (ABM) and to use
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collaboratively on multidisciplinary teams to map and reconstruct cell regulatory networks at the molecular level; use computational models to predict how genomic and epigenomic diversity processed by
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New York, NY. We are looking for an enthusiastic and motivated individual to join our computational team. Our overarching research goal at the CTCN is to identify and model molecular mechanisms
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for required experience Proficiency in R and Python for statistical analysis and modeling Familiarity with machine learning tools such as forward selection, XGBoost, Random Forest, and DESeq2 Preferred
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diseases. The position will assist the lab in isolating cells from resected specimens, evaluating cellular behavior in vitro (cell culture), as well as in an animal model (ex vivo). Responsibilities Under
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international engagements. Serve as the initial point of contact for the SEVP?s office, modeling professionalism and discretion in all interactions. Prepare and edit reports, briefings, and presentations
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; experience with signal processing, spectral analysis, time-series analysis, machine learning algorithms and the modeling and analysis of complex systems; strong publication record; proficiency with either
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and strategic planning. Work with Division Chiefs on strategic plan for avenues of growth and in the physician compensation model. Creation and implementation of recruitment/replacement business plans
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Research Scientist to work at the interface between climate modeling and machine learning. The successful applicant will perform research as part of the multi-institution international project, M²LInES https
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-evaluation and participates in Peer Review and Quality Assurance. Provides health education for acute and chronic medical conditions in a self-care model as well as wellness prevention model to patients and