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Applied statistics Network routing Agent-based simulation Behavioral economics Game theory Decision theory Machine learning Artificial intelligence Where will I be located? Both local and remote
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development to support extended reality technologies, machine learning pipeline integration, integration of sensors/devices to mobile platforms, and creating novel clinical decision support applications for our
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learn and gain experience in: Participating in various aspects of pre-clinical research through ongoing collaborative research projects Applying data collection methods appropriate to existing research
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the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (4 ) Engineering (1 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s). ORISE GO The ORISE
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(s): Computer, Information, and Data Sciences (5 ) Life Health and Medical Sciences (4 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s). ORISE GO The ORISE GO
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Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14
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studies and techniques, insect identification, and statistical analysis of ecological data. Opportunities to learn insect rearing and testing of vector competence for VSV will be available. The fellow will
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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
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analysis of laboratory assay readouts, or processing and analyzing transcriptomics data (bulk or single-cell RNA-seq). Learning Objectives: Under the guidance of a mentor, the participant will have the
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cattle entering the slaughter facilities. Learning Objectives: The fellow will gain experience in planning experiments and data collection, enumeration/detection of bacterial groups, screening of biofilm