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Field
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with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical genetics, and the ability to use R and/or UNIX/command line applications
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD in biostatistics, statistics, or related field Experience using R and/or Python to carry out data analysis
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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commercial and primary cells, and familiarity with the design and execution of preclinical trials. R&D Project Management: Experience in writing, managing, and executing research and development projects
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statistical methods (e.g., HLM, SEM, non-linear dynamical systems) and programming skills (e.g., R, Python, MATLAB) as well as data mining techniques for analyzing performance outcomes, self-report measures
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cancer in Barrett’s esophagus. Experience in analysing large datasets in R is essential but will also involve the use image analysis software such as Qpath. About You We seek an ambitious and self
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algorithms and software for large-scale scientific applications. Expertise in programming in a high-level language such as R or Python. Experience and skills in interdisciplinary research involving
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hardware R&D and data analysis is highly desirable. To Apply: South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive benefits package including
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision
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science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep