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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
languages. The position has a duration of 3 years. Due to the highly interdisciplinary nature of the position, the hired candidate will be part of both the section of Artificial Intelligence, Cybersecurity
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programming languages. The position has a duration of 3 years. Due to the highly interdisciplinary nature of the position, the hired candidate will be part of both the section of Artificial Intelligence
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skills and the ability to work independently and as part of a team. Strong written and verbal communication skills in English possess the ability to obtain and maintain a security clearance level of 'TIL
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on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants. Letter of reference If you want a referee to
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assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself. You can read about the recruitment process at https
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independently and as part of a team Preferred Qualifications Experience in graph-based AI models, multi-omics data integration, or network inference Background in epigenomics, gene regulation, or aging biology
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three days per week. For more information about the Department of Political Science, please see here . The Department of Political Science is part of Aarhus BSS , Aarhus University – a top 100 university
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. Mads Albertsen. The postdoc position is available from 1 January 2026 or soon thereafter. The working place is Center for Microbial Communities, Aalborg, Denmark. Your work tasks The postdoc is part of
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palaeoproteomics to commence on 01/02/2026, or as soon as possible afterwards. The position is part of the DFF Sapere Aude project MiddleEarth, which aims provide unique insights into the hominin occupation
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ability to work both independently and as part of a team Preferred Qualifications Experience in graph-based AI models, multi-omics data integration, or network inference Background in epigenomics, gene