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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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for extension and/or if additional funding is secured to extend employment. Required Qualifications: Ph.D. in plant breeding, bioinformatics, quantitative/statistical/population genetics, or a related discipline
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addresses these gaps. The research consists of: Develop a new dataset of observed damages and physical conditions based on insurance claims, and deriving improved, statistically robust damage functions
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collection, and adherence to Good Clinical Practice and IRB requirements. Ability to work with clinical/translational datasets, including data cleaning, management, and interpretation of statistical outputs in
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Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Computer Science, Bioinformatics, or Biology, with a strong background in statistics and
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). Experience and expertise in statistical or process-based modelling. Experience conducting environmental research on mining-impacted land. A demonstrated track record of project leadership and relevant
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management abilities; ability to work independently and collaboratively in a multidisciplinary research environment. Experience with human participant research, data collection and analysis, statistical
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of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS
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service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a
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thrive. We value inclusion as a core strength and an essential element of our public service mission. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and