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-year position. This postdoctoral position is funded under the ZonMw project AI-HCC: Explainable AI for Prediction and Early Detection of Hepatocellular Carcinoma, led by Dr. Maureen M.J. Guichelaar
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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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Key takeaways To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave
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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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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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transformation of energy systems and industry sectors, contributing to mitigating climate change. In the Netherlands, policy, industry and academia are working in the national Groenvermogen programme towards
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will include qualitative interviews and scenario workshops. The position is embedded in the HySuccess project that is part of the national research and innovation programme Groenvermogen. In addition
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problems and wave propagation from nano to kilometre scales. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer
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