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faculty and students are at the forefront of the high-tech start-up culture in New York City. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning and fosters
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have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding of neuroimaging data to predict subjective
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-based knowledge with machine learning. You will work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop and implement surrogate and hybrid modelling
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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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neurodegenerative diseases. The position is open to candidates with PhD degree and previous postdoctoral experience and offers the opportunity to work in an excellent team engaged in mouse models of disease
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc
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Two fully-funded postdoctoral or PhD student positions in experimental mesoscale bioinspired materials, DNA nanoscience, and/or soft matter physics The university: Johannes Gutenberg University
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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Requirements: Applicants whose PhD work included substantial experimental work with a focus on superconductor, semiconductor or hybrid semiconductor-superconductor quantum electronic devices, and microwave
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the disparities. While foundation models offer great promise for creating more robust machine learning models for a wide array of tasks, it remains an open problem how to foresee their biases across that wide array