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societal relevance of fermented plant-based food innovations. The starting date is 1 March 2027 or subject to mutual agreement. The research project The postdoctoral position is part of the externally funded
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. The position is connected to the MAPP research centre. MAPP is a world-class interdisciplinary research centre at Aarhus University conducting social science research of highest quality. MAPP is dedicated
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employment. By mutual agreement, the position can result in a 3-year fully funded PhD scholarship from CED, subject to enrolment. Expected start date is 1 January 2027 or as soon as possible thereafter
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of the Department. Responsibilities Individual and group-based research meeting high international standards Take responsibility for the academic development of their discipline and research environment High-quality
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, applicants will be required to meet the MSCA Doctoral Network eligibility criteria, notably: You must not have resided or carried out your main activity (work, studies, etc.) in Denmark for more than 12 months
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cohort studies. The position is for 3 years, starting on October 1, 2026, or as soon as possible hereafter. Information on the Department of Public Health can be found at https://publichealth.ku.dk/ Our
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, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on the effects of ADHD medication in children and young adults. The studies will
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Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme Electronic and Electrical Engineering; as per November 1, 2026, or as soon as
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. The successful candidate is also expected to be course-responsible and plan, conduct teaching, and supervise participants in DTU’s Continuing Education program: Diplom i Ledelse (https://lifelonglearning.dtu.dk
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learning event forward in time and across spaces, from campus to workplace to individual study, addressing the call's interest in active participation, reflexivity, and collaboration in AI-rich environments