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neurodegenerative disease expertise Statistical and coding skills including R experience Strong problem-solving and scientific communication skills. Demonstrated expertise in a variety of molecular biology techniques
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group. The successful candidate will have experience with paleobotanical methods, preferably including fieldwork, laboratory work, and statistical analysis. Experience with phytoliths is an advantage but
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/funding, with a possibility of being extended (if extension is a possibility). Qualifications Qualifications: PhD or foreign equivalent in public health, epidemiology, statistics, biostatistics, math
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to reverse genetics systems or viral culture. Advanced statistical/data analysis skills. Curiosity about virology (extensive prior knowledge not required; a strong desire to learn is essential). Qualifications
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Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics
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: A driver's license is not required for this position. More About This Job Preferred Qualifications: A PhD in Genetics, Bioinformatics, Computer Science, Data Science, Statistical Genomics, or a
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consisting of four faculty, two PDRAs, five PhD students, two Masters’ students and a varying number of undergraduates. Depending on interest, there may be opportunities to become involved in other projects
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Required Qualifications: The successful applicant will hold, or shortly expects to obtain, a PhD
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
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of parent infant interaction and conduct in-depth analysis (20%). b. Analyze infant MEG raw data (20%). c. Perform statistical analyses on the dataset to address research questions (20%). d. Review