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on the foundations of trustworthy, secure, and private AI). Your workplace The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest
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an interdisciplinary research project called “c/o Glass - making flat glass circular in the built environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed
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. Experience with information security or privacy-preserving machine learning will strengthen your application (e.g., thesis work, publications, or internships on the foundations of trustworthy, secure, and
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field Documented research experience in pancreatic cancer Documented proficiency in spoken and written English Experience in structured research documentation Strong ability to work collaboratively
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experience of programming (e.g., Python, C#, C++). Ability in teamwork and to work both independently and in groups. English language proficiency. Personal characteristics such as structured approach
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environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed as landfill. New initiatives to create a circular flow of flat glass has the potential
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profiles: A computational researcher with an interest in cancer genetics. The ideal candidate has a strong foundation in computer science/computational biology. Specific experience in analyzing sequence
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solid foundation in semiconductor device physics and microwave engineering; experience in nanofabrication and/or semiconductor technology. Contract terms Full-time temporary employment. The position is
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. The project involves close collaboration with other researchers in the group, as well as cooperation with leading scientists in virology, structural biology, and biochemistry. This project is part of a larger
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spectroscopies, as well as molecular biology for introducing site specific alterations. Atomic level structural insight will be obtained via single particle analysis cryo-EM and snapshot serial crystallography