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-appointed researcher to conduct education and research related to the development of AI-based subseasonal-to-seasonal prediction models. https://www.jst.go.jp/k-program/program/kaiyou4.html [Work
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core axes of our activities. https://www.issp.u-tokyo.ac.jp/index_en.html [Work content and job description] ISSP is seeking a highly motivated young researcher to collaborate with Associate Professor
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validation, and leave-one-platform-out validation Assessment of predictive performance using MAE, R², intraclass correlation, rank correlation, and calibration metrics Identification of organ-specific
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content supplemental explanation:Starting date: On or after April 1, 2027 (negotiable) Where to apply Website https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D126071996&ln_jor=1 Requirements