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10 Jan 2026 Job Information Organisation/Company Aalborg Universitet Department Faculty of Social Sciences and Humanities, Aalborg University Business School Research Field Other Researcher Profile
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equipment, data science and machine learning approaches. The role As an Academic Research Staff in the Single-Cell Omics Platform, you will be responsible for processing and analyzing bulk and single-cell
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and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk . Place of Work and Area of Employment The place
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possible thereafter, and is offered as a three-year fixed-term contract. The statistician will contribute to applied statistical analyses and data management across a range of collaborative research and
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instructor training, instructors must also take the Centre for Educational Development’s introductory pedagogical course: https://ced.au.dk/kurser/paedagogisk-grundkursus-for-studenterundervisere-og
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language. Information about the Department can be found on the following Website: https://www.en.society.aau.dk/ Aalborg University wants to reflect the surrounding society and has diversity as a core value
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at Universities 2025. Questions For further information please contact the Head of Department Jesper Hastrup Svendsen, jesper.hastrup.svendsen@regionh.dk Foreign applicants may find these links useful: https
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
at SDU: https://sdu1.23video.com/v.ihtml/player.html?token=8798e78f86240ba598c6f2f11d974734&source=embed&photo_id=111444369&autoPlay=1&endOn= Contact Information: For further information, please contact
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
of an international and researcher at SDU: https://sdu1.23video.com/v.ihtml/player.html?token=8798e78f86240ba598c6f2f11d974734&source=embed&photo_id=111444369&autoPlay=1&endOn= Contact Information: For further
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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended