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into their professional development. Learning Objectives: This research fellow will gain experience in bioinformatics and computational biology, with the focus on arthropod genomics and genetics. The fellow will learn
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Nurse to join us in our New Outpatient Surgery Center. WORK SCHEDULE · 100% Mon-Friday (4-10’s/ week) · Day Shift · No holidays, weekends, or nights The UW Medicine Outpatient Surgery Center
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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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Nurse to join us in our New Outpatient Surgery Center. WORK SCHEDULE 100% Mon-Friday (4-10’s/ week) Day Shift No holidays, weekends, or nights The anticipated opening date to patients is January 2026
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Development of computational methods and systems in support of the research activities Required educational qualification, experience, skills and competencies: A BSc in Bioinformatics or similar field (Life
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helping to train junior students, as well as presenting findings in internal meetings. Ideally, they also bring: experience with bioinformatic tools or genomic annotation, exposure to neuroscience
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(if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through “My Draft
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bioinformatics. Computational resources are available for large-scale analyses allowing for a unique opportunity for a fellow to obtain unique training and experiences to fit into their professional development
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), functional mechanisms (Spratt et al. Neuron 2019), regulatory processes (Liang et al. Genome Medicine 2021), ultimately leading to a potential therapy (Tamura et al. BioRxiv 2022). By focusing on human