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sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate. Applications must be submitted online at https://www.princeton.edu/acad-positions/position/39502, and
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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, and machine-learning-force fields. The initial appointment is for one year, with the possibility of renewal contingent upon satisfactory performance. For additional information about this position
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 30-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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development opportunities In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits To apply, please submit a complete CV including a publication list
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methods that combine soundscape targets, acoustic metamaterials, physical modelling, inverse design, machine learning and perceptual evaluation. The postdoc will develop models and design methods
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
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machine learning and AI to improve inversion, interpretation, and autonomous monitoring. Publish peer-reviewed research and contribute to external funding proposals. Mentor graduate students, undergraduate
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circuit models and algorithms for estimating the charge, health, and power based on direct methods (e.g. open circuit voltage), model-based methods (e.g. Kalman filtering), data driven methods (e.g. machine