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the performance of the job duties. As a member of the divisional leadership team, the Associate Dean advises the Dean and independently creates and implements methods for effective financial planning and budgeting
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Storage (GCS) applications. You will specifically apply these methods to dynamic reservoir modeling, area of review evaluation, and wellbore integrity assessment of GCS in both new fields and reuse
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Qualifications Professional certifications in data science, biostatistics, or epidemiology-related software/tools will be considered desirable. Master's/Doctoral degree (PhD, DrPH, ScD) in Epidemiology, Statistics
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-reviewed venues and conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry
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of capabilities such as AI training and inference at scale, and tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics
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of application) Applicants must have completed all requirements for a PhD Degree in geography, urban planning, sociology, political science, economics, data science, public policy, computer/information
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commercial real estate Advanced knowledge of real estate principles and practices, methods and procedures used in competitive real estate transactions, including value analysis, and source selection techniques
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and assessment practices (utilizing formal behavioral observation methods and techniques) and in training nonhuman primates using both principles of classical and operant conditioning. Experience
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. Experience teaching and conducting training in informal or formal settings. Collaborative and team-oriented, detail-oriented and able to set priorities and meet timelines; capable of making decisions in a fast
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Determine methods and procedures on new assignments and may coordinate activities of other personnel. Network with key contacts outside your own area of expertise. Work on and resolve complex issues where