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our team. We are looking for postdoc candidates to develop and apply cutting-edge technologies in spatial transcriptomics, single-cell sequencing, machine learning, and functional genomics
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launched Master of FinTech. We teach mathematics, statistics, and data science to nearly all undergraduate students at Illinois Tech and many graduate students as well. More details about the department can
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The Opportunity: The Post Doctoral Scholar will be part of a collaborative initiative between the Department of Electrical and Computer Engineering at the University of Central Florida (UCF) and
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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to collaborate with others are required. Preferred Qualifications Experience in CRISPR-based gene editing and multigene stacking Previous experience in machine learning, directed evolution, and enzyme engineering
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machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well
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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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the implementation of machine learning/AI methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have the opportunity to lead research projects, write
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the brain. We are particularly looking for a PhD level systems neuroscientist with expertise in animal behavior tracking using deep learning algorithms and its causal link with specific neural circuits
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of CLiPS, which focuses on the application of statistical and machine learning methods, trained on corpus data, to explain human language acquisition and processing data, and to develop automatic text