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of the liver to resolve inflammation and restore tissue homeostasis. The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver - immune cell interactions. For more
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. The Medical Degree - English Program offers students the opportunity to earn a Doctor of Medicine qualification. This program is designed for those looking to develop a robust foundation in medical education
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and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and
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assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and quantitative security assessment
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and
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learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and tissue reconstruction. The PhD candidate will work with
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innovation, robust governance and broad capacity building. AI LEARN is a consortium of 31 national and international partners from academia and the public and private sectors. About the project/work tasks
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, Rena, Evenstad, and Blæstad, and we also offer some programs in Kongsvinger and Tynset. INN is known for strong and robust educational and research environments that leave an impact regionally
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of Professor Stefan Krauss and Dr. Aleksandra Aizenshtadt and will be embedded in an interdisciplinary team. The duration of appointment is 3 years. Key tasks The PhD will focus on developing a robust