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industry reports Present research findings to GAIP sponsors and the academic community Job Requirements: Ph.D. in Actuarial Science, Risk Management, Insurance, Statistics, or related fields Proven research
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for implicit motives Coordination and training of undergraduate research assistants Statistical analyses Preparation of reports and manuscripts related to the project Planning and execution of independent
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) of processing (preferably in food) technologies Background in scale-up processing design, modeling, statistical analysis, and optimization. Have a degree in Food Science and Technology, Biotechnology, Chemical
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PhD in a relevant field such as health economics and outcomes research, statistics, and epidemiology; • Expertise in instrument development for clinical or healthcare decision making; • Proficiency in
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programs and in-depth knowledge, skill and expertise. Additional requirements • Expertise in quantitative data analysis methods for surveys • Relevant programming experience for statistical analysis
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, Environmental Economics, Public Policy, or a related field. Excellent quantitative analytical skills with knowledge of econometrics. Proficiency in statistical software such as STATA and R. Experience in managing
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foundation, e.g., optimization theory, statistics, information theory Good software development skills To apply, please prepare a cover letter detailing your interest and qualifications for the position
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Assessments (LCA) and Techno-Economic Analyses (TEA) of processing (preferably in food) technologies Background in scale-up processing design, modeling, statistical analysis, and optimization. Have a degree in
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planning, statistical analysis and preparation of manuscripts for publication as lead author and conference presentations. Qualifications The applicant should: Have a PhD in Biomedical or Biological Sciences
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/or technical reports or theses Experience required for Communications degree holders Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.) Running standard statistical