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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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an excellent opportunity for someone eager to grow their skills in clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn
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their skills in XR development. Why should I apply? Under the guidance of a mentor, you will learn and gain experience in a variety of research activities, including: Designing, developing and applying XR
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education and support your academic and professional goals. Along the way, you will learn and engage in research activities in several areas. These include, but are not limited to: Learning about large-scale
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pathogens in cattle entering the slaughter facilities. Learning Objectives: During the appointment, will gain experience in planning experiments and data collection, enumeration/detection of bacterial groups
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of their research relate to transmission dynamics of VSV and integrated pest management strategies. Learning Objectives: The fellow will have the opportunity to gain experience in entomological and aquatic field
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different research communities. Learning Objectives: Participants will gain skills in execution of emerging genomic techniques to agrigenomic samples including insects, plants, and microbes on a broad range
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professional goals. Along the way, you will engage in activities and research in several domains. Available topical areas include, but are not limited to: Optimization Reinforcement learning Bayesian analysis
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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
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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