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, including experience in mathematical or network-based modeling, supported by demonstrable work in a relevant research context Strong record of first-author publications in the fields of bioinformatics and/or
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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RIKEN’s research activities. Number of openings: Around 70 Research fields: Mathematical Sciences (pure mathematics, applied mathematics, computer science, information science, artificial intelligence, etc
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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mathematics Expertise in one or more of the following areas is highly desirable: free-space optics, optical satellite communications, underwater optical communications, Li-Fi, Optical Camera Communications
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-based screens, single-cell or spatial transcriptomics). Experience with reproducible research environments (e.g., Docker, Snakemake, Nextflow). Strong mathematical / statistics background At HT, your
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Description: Our research group is working on metamaterials and related electromagnetic issues at Nagoya Institute of Technology (NIT), which is known as one of the top research universities in Japan. The research group is new but rapidly growing due to success during recent years. We already...
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion