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hold, or shortly expects to obtain, a PhD qualification in Genetics, Bioinformatics, Computer science, Data science, Statistical Genomics or a related discipline involving the interrogation of ‘omics
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 18 days ago
of Openings: est. 2 Lecture Sections: TU & TH 7:00pm-9:00pm Course Description: The course lays the foundation of business data analytics and its application to Management. Using state-of-the-art computational
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range
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experience with digitalization, industrial maintenance, the mining sector, or the waste management sector, as well as an interest in sustainability and work environment issues. For more information about PhD
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to work both independently and in teams, and will possess excellent organizational, communication, and analytical skills. For more information, please contact Cigall Kadoch, Ph.D., directly at cigall_kadoch
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professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and participate in workshops A wide range
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. For additional information on life in Indy, visit http://medicine.iupui.edu/AboutIndy/ . Applications will be accepted until the position is filled. IUSM is committed to being a welcoming campus community and we
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Analytical Food Chemistry at Technical University of Munich | Freising, Bayern | Germany | about 1 month ago
) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https://microsunset.dtu.dk/ . To be eligible for a MICROSUNSET PhD
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About the Opportunity Responsibilities: Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization
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, including practical experience delivering production-level ETL/ELT workflows. ● Experience with data cleaning, quality assurance, and reproducible analytical processes. ● Demonstrated ability to translate