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of the recruitment and description of the project The Centrosome Dynamics and Evolution Group aims to understand the evolution of molecular mechanisms of the centrosome, a central organelle required for cell division
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development and evolution, with the goal of enabling the rational engineering of chloroplast function to enhance plant productivity but also to establish chloroplasts as versatile platforms for bioproduction
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toward commercialization. The project is funded through Mar. 31, 2027, renewable for another year pending a progress review. https://www.oist.jp/innovation/technology-development [Work content and job
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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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Researcher [Work content and job description] Fields of Research: ① Biology of cancer and infectious diseases ② Development of new antimicrobial agents ③ Development of new anti-cancer agents ④ Organic
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(Private School Mutual Aid ) Welfare pension insurance (kousei-nenkin) Worker's accident compensation insurance (roudousha-saigai-hoshou-hoken) Access to Child Development Center Access to Schooling Options
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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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Research Organization of Information and Systems, National Institute of Genetics | Japan | 3 months ago
transcriptional bursts of embryonic genes required for normal development. This position seeks a postdoctoral researcher who will proactively pursue experimental research building on these findings. Key research
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to accelerate discovery from the vast amounts of data from astronomical surveys. Topics for research include the development of AI for observational and theoretical aspects of astrophysics and cosmology, as
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, which exert significant influences on learning, memory, and development. Leveraging mathematical models, we aim to formulate a theory that bridges cellular-level plasticity rules and computation