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Field
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relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials to address key
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to both technical and non-technical audiences. Ability to write clear, concise, and impactful scientific papers, reports, and grant proposals. Strong organizational skills to manage multiple research
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Summary We study cell division mechanisms using C. elegans as a model organism. Our main R01 funded project seeks to characterize novel functions of separase during cytokinesis. We use multiple
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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evaluation. Previous knowledge of belief/trust for vehicular cooperative perception is a distinct advantage as is experience with algorithm development and networking simulation. Candidates should have
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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in animal science, soil and crop sciences, agricultural education, or a related field. Preferred Experience: Experience in multiple species production and experience and/or animal nutrition
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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to accomplish multiple tasks within deadlines. Currently residing in the U.S. with the ability to relocate to Maine. Other Information: To be considered for this position you will need to “Apply” and upload