10 assistant-professor-computer-science-data "https:" "https:" "https:" positions at University of Copenhagen
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training programme for assistant professors is required. Duties include the applicant’s own research, development of the field, assessment tasks, grant applications, and research management such as
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Academic assessments Participation in formal pedagogical training program for assistant professors The candidate is expected to develop a research program in close collaboration with other center members
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information about the CIIR center’s activities and overall research agenda can be found at https://jura.ku.dk/ciir/english/about/ An assistant professorship is a further-education post. The main
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assessment of candidates at each of the academic levels. Find information about each criterion here: Criteria for associate professor level: https://employment.ku.dk/faculty/criteria-for-recognising-merit
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contact Professor Jesper Nygård (nygard@nbi.ku.dk). More information about the Center for Quantum Devices is available at https://qdev.nbi.ku.dk/ . Foreign applicants may find this link useful
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The Department of Veterinary Clinical Sciences (IKV) invites applications for a highly motivated and academically ambitious Assistant Professor in Veterinary Cardiology to commence on 1 July 2026
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. General information about PhD studies at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your
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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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by the European Research Council and led by Professor Christian Rostbøll. Employment can be offered as postdoc or an assistant professorship. The offer depends on the candidate's profile. The position
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analysis of next-generation sequencing datasets, such as ChIP-seq, RNA-seq, ATAC-seq Experience in computer programming languages, such as R, Python Experience in quantitative mass spectrometry for analyzing