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undertake major scientific research tasks such as the National Key R&D Program, National Natural Science Foundation Program, National Major Scientific and Technological Special Project for “Significant New
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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application in the same year, generally should have obtained a formal teaching or research position in overseas universities, research institutions, or enterprise R&D institutions, with a continuous work
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(Outstanding Scientists) Qualifications: PhD degree with at least 3 years of research or academic experience at an internationally renowned university, research institution, or corporate R&D organization. Proven
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and should hold full professorship or equivalent ranks at research-oriented universities or R&D institutions. Applicants are expected to have conducted cutting-edge and well-recognized research with
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well as the R&D and application of high technology for marine environmental protection and resources exploration. It is a large-scale public welfare marine research institute with outstanding scientific and
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or young are welcome to apply for this position. Generally applicants should have obtained a formal teaching or research position in an overseas university, scientific research institution or enterprise R&D
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(bioinformatics, computer science, statistics, mathematics, physics, engineering or similar); Proficiency in at least one of the following programming languages: Python (preferable), R, java, javascript, C++, C
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Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied
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Scientists) Qualifications: PhD degree with at least 3 years of research or academic experience at an internationally renowned university, research institution, or corporate R&D organization. Proven