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expertise and interests, there is also flexibility to extend the research toward metagenomic and omics data analysis or related fields. [Work content and job description] Main Responsibilities: ・Development
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applications, such as NV centers formed within diamonds. https://www.nims.go.jp/electr-opt/SCdefct_e.html [Work content and job description] This position is for research on the physical properties of quantum
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Postdoctoral Researcher (Experimentalist), Melwani Daswani Lab, Earth-Life Science Institute (ELSI),
researcher to lead experimental work on the thermal and thermodynamic properties of organic matter and mineral assemblages relevant to ocean worlds and other planetary bodies. The lab hosts a recently acquired
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research activities in Japan is provided for international appointees. * Assigned department Existing departments [Work location] * Address 152-0033 Tokyo 2-12-1 Ookayama, Meguro-ku [Number of hired] Number
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, this knowledge will inform strategies to optimize chloroplasts both as efficient bioproduction platforms and as targets for enhancing photosynthetic performance. https://synbryo.weebly.com/ [Work content and job
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successful candidate will join the Belle II experiment, and will promote its research program by performing physics analysis, and in addition, by contributing to the maintenance, operation, performance
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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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are seeking one postdoctoral researcher to work on the improvement of Nicotiana benthamiana and tomatoes. [Work content and job description] The candidate will perform genome editing or transformation
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,Insight,Dream,MRI,EEG,MRS * details of the business RIKEN is Japan's largest and most comprehensive research organization for basic and applied science. [Work content and job description] The successful
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-u.ac.jp/en/ [Work content and job description] The candidate will contribute to develop methodologies for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal