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FAPESP Project: RedeFloresta: Geospatial decision support platform for the restoration of landscapes and ecosystems in the state of São Paulo (Public Policy Research Program - PPPP)FAPESP process
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. The post holder will work as a part of an interdisciplinary team including experimental neuroscientists studying learning in brain networks in Oxford, as well as other theoretical neuroscientists modelling
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it is not required that the candidate possess a deep theoretical understanding of AI, practical proficiency in using AI will be considered in the selection process. Applicants must hold a PhD prior to
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processes to ensure bioburden reduction and then developing robust assays and quality controls to measure and verify the process met its intent. You are expected to perform high level experimental and
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authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside
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and future developmental timepoints from time-series data. Our recent theoretical work suggests that these learned relationships can generalize across conditions, and we will test this using both
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theoretical background and a degree in cell and molecular biology (or similar field) and preferably some practical experience in cell culture and/or functional genomics methods. For the Doctoral Researcher
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for this position. Position Requirements A Ph.D. in Materials Science, Physics, or a related discipline A strong experimental and theoretical background in conducting in-situ electrical transport measurements applied
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Job no:534628 Work type:Faculty - Other Location:Eugene, OR Categories:Research/Scientific/Grants, Physics, Neuroscience Department:Research Department: Institute of Neuroscience Rank: Postdoctoral
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will be strongly encouraged to join ongoing local, national and international collaborations with leading theoretical and experimental researchers and contribute to shaping new research directions