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Field
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innovative statistical methods. The main focus will be on methods for sample size estimation and reliability for functional data. More applied projects aimed at improving the understanding of movement data may
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of duties might include: ● Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation relative to research procedures. ● Collect, prepare and analyze
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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digital PCR, multiplex assay design, or nanopore based detection. Experience working with laboratory animals, statistical methods, and bioinformatics. Experience working with maintenance of parasite life
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performance and detect anomalies Develop AI-driven predictive maintenance strategies to anticipate system failures or performance degradation Use AI/ML methods to optimize thermal system design parameters and
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of avian biodiversity information worldwide. Jointly, these approaches can provide complementary geographic and temporal coverage, and integrating them can improve estimates of species occurrence, phenology
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of machine learning, neuroimaging and Psychiatry, developing methods with the potential to improve our ability to predict clinical outcomes. They will have the opportunity to work with rich brain MRI datasets
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the dissertation, must be completed by the date of appointment. Demonstrated research experience with density functional theory or closely related first-principles atomistic simulation methods. Demonstrated research
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performing assays to determine cell signaling pathway activations using BRET/FRET methods, label-free and HTRF assays, WesternBlot or immunoassays. She/he must have expertise in confocal microscopy, and in
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methods, advanced statistical techniques, and other areas. Responsibilities of the successful candidate include but are not limited to: Leading experiments focused on tobacco and cannabis product emissions