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Field
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infancy is difficult. This PhD program aims at using state-of-the art multi-channel near infrared spectroscopy (NIRS) to assess the functional brain response of infants born preterm in long-term follow-up
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the Department. He/she is also expected to perform group-based high-impact research and undertake some teaching duties. Requirements: Applicants should possess a PhD degree in Computer Science, Computer
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in MS and better assessment of disease progression. This PhD project will explore feasibility and acceptability of home monitoring of vision in MS. Our work will contribute to the evidence-base
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the umbrella of the Dresden International PhD Programme (DIPP) Teaching language English Languages All courses are held in English. The primary language in the labs is English. The PhD thesis is written and
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Engineering and Neuroscience. The stipend is open
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. This PhD project aims to develop efficient, reasoning-enhanced Vision–Language Models tailored to multimodal medical data. The main aim is to investigate how explicit clinical reasoning can be embedded
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Doctoral Programme Proficiency in both written and spoken English language skills Organized research training (PhD program): The selected candidate will be required to enrol in the NTNU’s approved PhD
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning