1,599 data-"https:" "https:" "https:" "https:" "https:" "https:" "Eindhoven University of Technology (TU" positions at Nature Careers
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, and data capabilities; facilitates technology transfer; strengthens workforce pathways; and represents the collective voice of 129 member colleges and universities alongside an extended network
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in our team. Learn more about us here: https://swa.cs.univie.ac.at/ . Your future tasks: You actively participate in research and administration, which means: You develop software engineering methods
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strategic solution capabilities required to excel in a data-driven economy. Discipline, including, but not limited to: Business Information Systems, Venture Creation, Business and Data Analytics, Financial
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Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices
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collaboration with experimental scientists. Our group develops and maintains open-source software for data analysis, including HiCognition (https://www.hicognition.com) for interactive exploration of genomics
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to the teaching activities of the group - max 90 hours/year Providing guidance to PhD and MSc students Disseminating results through scientific publications For more Information about the group, please consult
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The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
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and written) are a requirement. For more information, see: https://streuff.weebly.com and https://www.carltryggersstiftelse.se Application The application should state the above reference (CTS25) and
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candidate. Information about respective teaching departments can be obtained at https://www.med.hku.hk/en/depts/teaching. A highly competitive salary commensurate with qualifications and experience will be
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the current state-of-the-art are particularly encouraged. Pure integration or reanalysis of existing data, approaches solely based on established biomarkers, or projects lacking integration of AI-based modeling