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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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community or outreach activities when appropriate. [Qualifications] (Required) PhD in mathematics, physics, or a closely related field by the start date. (Preferred) Demonstrated research expertise in one
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, Japan which offers a 5-year PhD program and brings together outstanding researchers from across the country and across disciplines to conduct cutting-edge scientific research. The university is located
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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
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(Required) PhD in Information Theory, Mathematics or related fields Strong research skills and a solid track record of publications Excellent written and verbal communication skills in English. Knowledge
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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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., 2021, JCB Ohta et al., 2018, Cell Reports Ohta et al., 2014, Nature Communications Responsibilities: 1.Drive and manage the research project 2.Publish in high-quality journals 3.Learn and develop new
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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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the activities of the Representation Theory and Algebraic Combinatorics Unit. Qualifications: (Required) 1. PhD in Mathematics. 2. Speaking/Listening Proficiency in English. Report to: Dr Liron Speyer
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researcher to develop observational design and impact assessment methods, leveraging techniques such as data assimilation and machine learning. https://www.jamstec.go.jp/ccoar/e/ [Work content and job