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assessment. At ING, large document flows and multiple RAG-based initiatives call for robust mechanisms to evaluate model outputs. You will work with ING Analytics to design and test methodologies that quantify
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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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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training programs for PhD candidates and consortium members in interdisciplinary and transdisciplinary research methods; Develop and facilitate workshops and webinars to build collaborative expertise across
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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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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