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We are offering a postdoc position on the development of statistical and tensor decomposition methods for representation learning of heterogeneous data with application to neuroimaging.Location
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molecular simulations, machine learning, statistical physics, multiscale modeling, and uncertainty quantification. The position is offered in the context of the EU funded project, aiming to develop a novel
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The Department of Statistics at The Pennsylvania State University invites applications for one Postdoctoral Scholar working with Dr. Michael Schweinberger. The postdoctoral scholar is expected
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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or higher. You will be responsible for performing statistical analyzes regarding the accuracy of the AI algorithms compared to registered cancer diagnoses and compared with the radiologists
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, Biotechnology or equivalent, obtanied in up to 5 years.- Independent, proactive researcher who should work well in a team.- Experience in plant biochemistry and plant molecular biology, as well as in statistical
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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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annotation, development and application of comparative genomic methods to discover differences in genes and gene expression, and the use of statistical approaches to link phenotypic to genomic changes. Our lab
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application of comparative genomic methods to discover differences in genes and gene expression, and the use of statistical approaches to link phenotypic to genomic changes. Our lab is part of TBG (https
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science. Experience in collection and analysis of human sleep EEG data or simultaneous EEG-MRI data are required. Advanced signal processing, statistical and programming skills are strong assets. Fluency in