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willingness to work in a team and to network with scientific institutes and industrial partners, as well as confidence in the use of standard MS programs and a good command of written and spoken English.
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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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the application of molecular biological methods experience in the statistical analysis of research results or willingness to acquire such experience very good knowledge of MS Office, including Word, Excel and
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of MS Office and reference management tools (e.g., Zotero, EndNote) Excellent written and spoken English skills, German skills desired Scientific curiosity, openness to new topics, and willingness
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advisory centres Ms. LI Maoli University of Chinese Academy of Sciences (Int. cooperations Office) Shijingshan District, No. 19A Yuquan Road 100049Beijing, PR China UCAS Foreign Students Bldg. 122 Tel.: +86