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highly advanced STM/AFM techniques that have been developed at the Nano-Sceince in Beijing. This will create the foundation for the secondary goal, using the hydrogen bond geometry measurements along side
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the teaching responsibilities. In addition, the applicant is expected to serve as course responsible and participate in course development and examinations. The position does not require research as PI
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. This includes the use of Machine Learning (ML) and Artificial Intelligence (AI) methods. Project description The PhD project will be focused on developing, assessing, and comparing traditional and modern ML and
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applicant will help further develop the existing research and teaching environment within the Department of Educational Anthropology and Educational Psychology, with a particular focus on developmental
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Danish society. Read more about the department and sections here: https://bce.au.dk/en/research/key-areas-in-research-and-development What we offer The department/centre offers: a well-developed research
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Center (BRIC) to commence as soon as possible. Information on the Department can be found at: https://bric.ku.dk/ . Job description The successful candidate will have expertise in molecular and cellular
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at: http://mgmt.au.dk . Further information Application deadline: October 12, 2026. Workplace: Universitetsbyen 61, 8000 Aarhus C. Hours per week: 37 The minimum length of employment as research assistant
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. The position is a two-year role and funded by a DFF research project (‘Safeguarding Users’ Cognitive Autonomy in Human-AI Interaction’). Research objectives This project develops methods to detect changes in
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-AI Interaction’). Research objectives This project develops methods to detect changes in users' cognitive load and designs digital interventions that support cognitive autonomy, people's ability
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to investigate how the ice sheet and ocean have varied and interacted beyond the relatively short observational period. As a PhD fellow, you will develop high-resolution reconstructions of Greenland