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Conduct research, technology development and data analysis on cool pavement impacts in Southern California. Responsibilities Primary responsibilities include background research, technology development, and
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, the following elements will be positively evaluated: Knowledge of both written and spoken Italian; Employment Type of contract: fixed-term contract Working hours: full-time (38 h per week) Start date: Preferably
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups
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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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University of California, San Diego (Scripps Oceanography), laboratory of Farooq Azam Korinna Kunde, Ph.D. In the Iron Continuum: Physicochemical Metal Speciation Dictates Bioavailability University
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for a postdoctoral research position focused on the intersection of geography and public policy analysis. Successful candidates will have research experience in quantitative geography, geographic
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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questions as to the short and long-term impacts on vascular disease risk. Published work from our laboratory has shown that both subcutaneous infusion of the major tobacco component, nicotine, and inhaled e
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personalized learning experiences that are both effective and engaging. The first component of this work is to develop AI-augmented tools that enable elementary school-aged children to rapidly create
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. Required Qualifications: A doctoral degree (PhD, MD, or equivalent) conferred by the start date. Proficiency in R/Python Experience with scRNAseq, and/or spatial proteomic/transcriptomic data analysis Growth