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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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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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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description [Background of the recruitment and description of the project] * Background
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Japan Application Deadline 24 Dec 2025 - 23:59 (UTC) Type of Contract Permanent Job Status Not Applicable Hours Per Week See description Is the job funded through the EU Research Framework Programme? Not
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Universe (KMI)-PD [#31232, KMI-2025-2] Position Title: Position Type: Postdoctoral Position Location: Nagoya, Aichi 464-8602, Japan [map ] Subject Area: AI/Machine Learning / Astronomy Appl Deadline: 2025
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also welcome the researcher from different fields: AI (machine learning, big database, etc) Semiconductors As a minimum requirement, you must have a PhD degree in Electrical and Electronic Engineering or
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geometry, connecting algebraic combinatorics, algebraic geometry, and high-energy physics . We invite applications for postdoctoral positions to join this interdisciplinary program. Successful candidates
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. Qualifications: (Required) PhD in Mathematics. Report to: Professor Ugur G. Abdulla/Analysis & PDE Unit Starting Date: August, 2026 (or onward) Term & Working hours: Full-time, contract will be renewed on a yearly
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heavy ion beams at the accelerator facilities in Germany and China. We also initiated and lead the project to study hypernuclei by analyzing the nuclear emulsion data with machine learning techniques. We
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency