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engines, XR devices, spatial sensing technologies, high-capacity high-speed communication systems, and distributed computational processing. Through government-funded research projects and collaborative
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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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Engineering RIKEN ECL Research Team aims to establish novel therapeutics for hard-to-treat diseases by investigating the wealth of biological processes and modifying cells using molecular tools derived from
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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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engines, XR devices, spatial sensing technologies, high-capacity high-speed communication systems, and distributed computational processing. Through government-funded research projects and collaborative
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, Japan time (The deadline may be extended until the position is filled.) Start of the term: From May 2026 (there is a possibility to start slightly earlier depending on time required for employment process
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childcare leave taken. ○ Submitted documents will not be returned. The CV received will be used only for the job application process for the position being applied for, and the personal information contained
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: Annual Paid Leave, Special Leave, etc. Additional comments ・ Personal information received through this application process will not be used for other purposes. ・ The University of Tokyo is committed
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infrastructure operations, we aim to improve Internet Protocol performance, and to develop new protocols, in addition to deploying those outcomes. Potential research areas include: Computer Networks, Distributed
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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