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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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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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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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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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, 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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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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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
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research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell