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and child Qualifications and personal qualities: The applicant must hold a master's degree or equivalent in the field of medical data science, health information technology, or bioinformatics
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involve a combination of herbarium study, fieldwork including collections and threat assessments, lab work including DNA processing for high-throughput sequencing, bioinformatics including phylogenetic
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processing for high-throughput sequencing, bioinformatics including phylogenetic analysis and coalescent based species inference, and synthesis in the form of a formal revision. Supervisors: Prof. Michael D
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, bioinformatics, information security, machine learning, optimization, programming theory, visualization, and didactics. Affiliated centers and labs include the Center for Data Science (CEDAS) , the Computational
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oral English skills Preferred: Experience in taxonomy and systematics of algae Experience with microscopy, morphological character analyses, and herbarium work Experience in bioinformatics, molecular
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specialization in signal processing, bioinformatics, simulation/visualization, or dynamic systems, or have the doctoral thesis submitted prior to the application deadline. It is a condition of employment that