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learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical settings
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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experience and skills: master's degree/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding
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23 Aug 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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Netherlands Application Deadline 31 Aug 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI systems are increasingly used in high-stakes decision-making, such as healthcare and
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AI systems are increasingly used in high-stakes decision-making, such as healthcare and hiring, yet they often reinforce societal biases, leading to unfair outcomes. While human oversight is
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domains such as e-government, healthcare, and finance – where compliance with frameworks like NIS2 and DORA is increasingly more essential. This project aims to analyze and map these hidden dependencies
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for rigid systems or require extensive sensing and computation. This project addresses the challenge of developing model-based control strategies tailored to soft bodies, capable of exploiting their compliant
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Operations Research, in particular on exact and approximate methods in Markov decision theory. Our new colleague is envisaged to work on applications in healthcare optimisation, but also expand the current