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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI. Our group and research -- and what do we offer? The successful candidate will
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Innovator Grant from the Novo Nordisk Foundation and carried out under the supervision of Professor Claus Elsborg Olesen. The project’s main objective is to optimize the RNA delivery platform through in vitro
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Implementing and optimizing advanced experimental techniques Integrating data across molecular, genomic, and imaging platforms In addition, the candidate will: Contribute to supervision and mentoring of students
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be
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studies using kidney cell culture models to investigate receptor–ligand interactions and endocytic pathways. Perform and optimize molecular, biochemical, and histological techniques, including
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procedure All applications must be sent via the electronic recruitment system, using the link below. The application must include: A complete, numbered list of publications and work in progress (indicating