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voting) and sampling problems (such as graph partitions for redistricting) and to launch new research in areas connected to the work of the lab. Members of the lab publish in peer-reviewed journals in
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Write and/or edit scientific content
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graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
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of Mathematics at the Hebrew University of Jerusalem is soliciting applications for postdoctoral positions, to be hosted by one of the faculty members listed below. Candidates must hold a PhD in mathematics, or
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networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
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at an international level developing deep learning, vision transformers, graph neural networks, foundation models, or related methodologies for integrating diverse imaging data with clinical, laboratory, and genomic
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some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in
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them in this task. In this course, we will introduce the foundation concepts of data visualization such as proper use of different graphs. The course will cover the complete life-cycle of data
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to effectively compile linear algebra expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in