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, as well as the way memory, trauma and history are entangled. Job description: In close coordination with the project management and the other project members, the computer-assisted analysis
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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Tongji University, School of Mathematical Sciences Position ID: 3604 -POSTDOC [#26780] Position Title: Position Type: Postdoctoral Position Location: No. 1239, Siping Road, Yangpu District
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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within a cross-functional team, including software developers, electrical and mechanical engineers. Experience and strong understanding of machine learning algorithms, mathematical modelling, and
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management and a variety of intermediate and advanced statistical techniques and technical skills to promote the collection, analysis and interpretation of data arising from research studies. This work may
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of Measure Theory and Functional Analysis is appreciated. Submission Documents (to be sent via email to amedeo.esposito@oist.jp) Cover letter (English) Curriculum vitae (English) Research Statement (English
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. Proven experience in experimental design and data analysis, with proficiency in statistical software. Experience with soil sampling, laboratory techniques, and field research. Ability to work both
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. Specifically, the duties of the post are: Analytics: Ensure data accuracy and consistency through cleaning and transformation to prepare for data analysis. Stakeholder engagement: Work closely with clinical