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; Ph.D. (Electrical Engineering, Computer Engineering, Computer Science, Statistics, Applied Math, or related field); A minimum relevant (including PhD) research experience of 4 years. Application
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standard in data science. Given its large adoption, we propose to improve the documentation, robustness, and interoperability of the Tidyomics ecosystem and extend it to spatial profiling technologies
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Search Committee. Please be advised that only shortlisted candidates will be notified of the result of the application. (Information provided by applicants will be used for recruitment and other employment
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Computer Science, Electronic Information Engineering, Materials Engineering and Nanotechnology, Business Information Systems, Engineering Management, and Data Science. Meanwhile, we have begun the admissions process
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the field of precision oncology. To be successful you will need: Explicitly address each selection criteria PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a
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will head and supervise the Postdoc, technical and student personnel in laboratory duties and research and maintain laboratory operations Your profile: You have completed a PhD in biological sciences and
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, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning applications. Demonstrable experience in analysing large-scale single-cell genomic data
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, Genome Engineering, and Data Handling and Analysis, aimed at the Italian scientific community as well as internal HT research groups. In this context, the Cryo-Electron Microscopy (Cryo-EM) Unit, as part
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of proteomics methods (e.g. PRM, DIA, automation/analysis pipelining) are considered a plus. The candidate(s) should hold a PhD or an equivalent degree in life sciences or related disciplines, obtained in a lab
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Associate or Senior Editor (Materials Science) Organization: Nature Communications Location(s): New York, Jersey City, Philadelphia, Beijing, Hong Kong, Nanjing, or Shanghai (hybrid working) Closing