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(MPRR) Group at Technical University Delft has joined the National Growth Funding “Groeien met Groen Staal ” (GGS)” programme which aims at making the Dutch steel sector circular, CO2-neutral, and high
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perform a prospective trial at the Dutch Breast Cancer Screening Program to determine the impact on screening performance when optimizing the radiologist’s interpretation. This trial will involve two
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation
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to have the following skills and experience. We welcome applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep
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relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable
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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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3 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Astronomy » Astrophysics Chemistry » Computational chemistry Chemistry » Molecular chemistry Physics
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, Associate Professor, by email: franzel.vanduijnhoven@wur.nl . Questions about the procedure? Get in touch with Rutger Voorrips, Corporate Recruiter, by email: rutger.voorrips@wur.nl . Ready to apply? Click
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin