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soon as possible thereafter. Job description The position is part of the SNSF-funded project “AI-driven comparative QTLomics to accelerate crop improvement,” a collaborative project with partners
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. The position is funded by the Center for Anytime Anywhere Analytics (CA3). This is a full-time, on-site role located in Aarhus for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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, 2026, - subject to mutual agreement. Role description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department
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and environments that integrate visual, auditory and haptic stimuli for remote collaboration. The successful candidate will take a leading role in the project's central technical objective: the design
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Place of employment and place of work: The place of employment is Aarhus University, and the place of work is Inge Lehmanns Gade 10, 8000 Aarhus C, Denmark. Contacts: Applicants seeking further
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spoken English is essential, as is the ability to work across interdisciplinary teams. Eligibility and requirements You are eligible to apply for an NAD fellowship if you have a documented background in