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Non-tenure-track/postdoctoral Graz, Austria Apply University of Graz, Austria Department of Mathematics and Scientific Computing Heinrichstrasse 36 8010 Graz Austria The address could not be found
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learning; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic
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and includes a substantial start-up package and administrative supplement. We seek an experienced faculty member who shares our vision of a world in which health care is accessible, affordable
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-like journals). ● Present findings in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists
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the SMaHT Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ ONT Whole Genome Sequencing ( WGS ), RNA -Seq). The ideal candidate will have a deep understanding of next
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that machine learning AI approaches will prevail as a generic computing paradigm, and will find an ever growing range of practical applications, many of which will have to do with various aspects of
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that machine learning AI approaches will prevail as a generic computing paradigm, and will find an ever growing range of practical applications, many of which will have to do with various aspects of
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. Remote work for this position is not possible. Basic Qualifications Bachelor’s or master’s degree in computer science, statistics, electrical engineering, applied mathematics, computational biology
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). Present findings in internal meetings and at national/international conferences. Collaborate with an interdisciplinary team of biostatisticians, computer scientists, and climate scientists
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Details Title Prize Postdoctoral Research Position in the Galileo Project School Faculty of Arts and Sciences Department/Area Harvard College Observatory/Center for Astrophysics Position Description