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Experience · PhD in oceanography, atmospheric science, geophysics, economics, computer science, statistics, or a related discipline at time of appointment; · Familiarity with literature relevant to sea-level
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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, on program implementation and outcomes, along with producing peer-reviewed publications and public reports. The Associate will also lead the coordination of statewide and local research and practice learning
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Pension Eligibility ABP Qualifications Minimum Education and Experience PhD in biomechanics, kinesiology, biomedical engineering, computer science, or a closely related discipline. Experience with motion
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, geography, urban informatics, or a similar field with suitable analytic skills to conduct transportation analysis. The ability to conduct qualitative research and organize and run focus groups is essential
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Effective spoken and written English required. High level of computer literacy required. The individual must be able to navigate the highly complex and often unpredictable nature of scientific research, as
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy economics, public informatics, or a
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mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing