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of novel methodologies at the intersection of self-supervised learning, data-centric machine learning, trustworthy AI, and human-machine collaboration (i.e., expert-in-the-loop) for healthcare and high-tech
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tumor-lymph node-on-chip (Tumor-LN-oC) platform composed of 3D tissue models and microfluidic chips which will connect surgically removed human primary tumors and LN tissue from the same lung cancer
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is to research and develop AI models that can accurately detect the following threats and suspicious events at harbours and airports: drug-, human- trafficking, large scale burglary and infrastructure
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level. Moreover, the intricate relationship between safety and sustainability is frequently underestimated or disregarded in current practices. In this position, you will research and develop a
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; An environment where you are encouraged to develop yourself in the field of BI and analytics and share knowledge across Universities; Working at an inspiring campus where we work for the benefit of humanity and
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([email protected] ) or Nicholas Waterson ([email protected] ). Visit our website for more information about the application process or the conditions of employment. You can also contact Human
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([email protected] ) or Nicholas Waterson ([email protected] ). Visit our website for more information about the application process or the conditions of employment. You can also contact Human
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close relationship to industry. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: Full-time employment for two years. Salary and
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Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7364 Job description Cyber-attacks targeting human users are on the rise both in sophistication and
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methods and statistical analysis are welcome, but not required. A propensity for qualitative work supporting quantitative approaches, and an interest in human factors and technology are considered a strong