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and the imaging sciences. The candidate will be expected to secure extramural funding and teach both at the undergraduate and graduate levels. Main duties and responsibilities Establish an independent
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, on AI Safety and Trust Technology, especially on the topic of applying secure multi-party computation, homomorphic encryption, and federated learning in privacy-preserving machine learning. The successful
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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your gene of interest from plasmid to atomic level structure using a series of state-of-the art platforms for Protein expression, biophysical characterization and imaging using cryo-EM, tomography or X
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international journals and conferences. A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary research initiatives and
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). • Strong understanding of security practices in cloud environments (IAM, encryption, firewalls). • Excellent problem-solving skills and ability to work independently or as part of a team. Preferred
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environments) is advantageous Understanding of application security principles, secure coding practices, and common vulnerabilities (e.g. OWASP Top 10, authentication/authorization, data encryption) will be
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research
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team to conduct the research on development of AI models and algorithms for image processing, computational imaging as well as computer vision applications. The roles of this position include: Research