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leader Prof. Hiroaki Kikuchi, Meiji University) aims to develop innovative data privacy technologies. A post-doctoral researcher who engages in the following studies is now open. https
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mathematics/statistics/computer science, willing to specialize their research on large language models (LLMs). The successful candidate will contribute to the development of trustworthy LLMs by focusing
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://www.econ.kyushu-u.ac.jp/ [Work content and job description] We are now recruiting a Post-doctoral Fellow to engage in international academic research activities. Under the supervision and direction of the Head of
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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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well as the database construction to advance survey astronomy. Projects range from AI-oriented astrophysics and cosmology, such as simulation-based inference, AI-based data reduction, and AI-based accurate modeling and
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. To achieve this, we work with emerging model systems, particularly the liverwort Marchantia polymorpha and hornworts, which combine exceptional experimental tractability with evolutionary perspectives
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workstations (380 cores and more than 5.1 TB RAM in total), 9 NASs (over 380 TB), electromagnetic simulators (ANSYS HFSS, 50 licences) (CST, 5 licences), etc. Our group is rapidly increasing its presence in
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, Okinawa 904-2211, Japan [map ] Subject Area: Analysis and Partial Differential Equations (PDE) Appl Deadline: 2026/03/01 04:59 AM UnitedKingdomTime* (posted 2025/08/20 05:00 AM UnitedKingdomTime, listed
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of the project] * Background of the recruitment and description of the project [Outline of Laboratory] Our research is within the field of Computational Neuroscience. We utilize computer models to explore how
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Area: Analysis on Metric Spaces Appl Deadline: 2026/03/31 04:59 AM UnitedKingdomTime* (posted 2025/12/18 05:00 AM UnitedKingdomTime, listed until 2026/03/31 04:59 AM UnitedKingdomTime) Position Description: Apply