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, scientific computing, mathematics, statistics or a related field, or a foreign degree equivalent to a PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a
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-doctoral experience with human-subjects research and manuscript submission. Knowledge, Skills & Abilities: Must have excellent computer skills. Ability to use Microsoft Office suite and statistical programs
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and for manuscript preparation; use graphics and statistical software to analyze and present data; search pertinent scientific literature as needed. ● Supervise other personnel in the laboratory
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. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should
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, anatomical, locomotor, and other behavioral data using appropriate computational and statistical methods. 5. Develops and optimizes experimental approaches to identify spared and reorganized supraspinal and
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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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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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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