58 machine-learning "https:" "https:" "https:" "https:" "https:" "IMT Atlantique" "IMT Atlantique" Postdoctoral research jobs in Japan
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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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, master equation approaches. Research themes may include spin transitions, critical phenomena, ultrafast magnetization reversal, magnetic resonance, coercivity, and thermal conduction. https
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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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explanation:The date of hire/start will be April 1, 2026 or earliest date possible thereafter. Where to apply Website https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D125121622&ln_jor=1 Requirements
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Compensation Regulations. Benefits: - Relocation, housing and commuting allowances - Annual paid leave and summer holidays - Health insurance (Private School Mutual Aid http://www.shigakukyosai.jp/ ) - Welfare
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applications using NV centers formed in diamond. https://www.nims.go.jp/electr-opt/SCdefct_e.html [Work content and job description] This position is for research on basic physical properties of semiconductor
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individuals with interest and experience in numerical analysis, including water quality/isotope analysis and machine learning, and who have experience publishing academic papers in these fields. * Assigned
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year. Further details can be found at https://www.kek.jp/en/career/researcher25-5 Application Materials Required: Further Info: 1-1 Oho, Tsukuba, Ibaraki 305-0801 Japan
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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
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of the recruitment and description of the project] * Background of the recruitment and description of the project We have been developing federated learning AI models for medical image diagnosis and conducting