32 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" positions at University of Copenhagen
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responsibilities We expect you to hold a master’s degree in computer science, social data science, or a closely related field, and to have at least one year of relevant work experience. Fluency in English and
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setups (cryostats, superconducting detectors). Experience in cleanroom nanofabrication workflows, especially e‑beam lithography or dry etching. Knowledge of quantum information science or hybrid quantum
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Within the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Action (MSCA), University of Copenhagen is offering one PhD position for a Doctoral
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Quantum Computing Programme can be found on the website: https://nqcp.ku.dk/ The Faculty of Science at the University of Copenhagen – or SCIENCE – is Denmark's largest science research and education
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PhD degree in medicine, epidemiology, data science, complexity science, computational science, social science or other related sciences You have some experience with research related to health issues
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for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty
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are expected to be currently enrolled in an (higher) educational program Application If you are interested in the position, please submit a concise electronic application including your CV and transcript via
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. The position requires good computer literacy and previous experience in a similar position will be an advantage. The applicant should be reliable and well organized. The work requires independence and demands
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customized software tools and interfaces tailored to the group’s evolving research needs, focusing on efficiency and user experience. We expect A BSc degree or MSc in Computer Science (correlation with
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of the data manager’s work will be conducted via secure access to the servers at Statistics Denmark using the Department’s research machine: the Public Health Database. The data manager will work in close