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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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Administration & Secretariat Policy & Advice IT Marketing & Communication Human Resources Finance Legal Real Estate & Facilities Management Education Research, development, innovation Academic staff PhD
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the Université Paris-Saclay, France and scientific director of the Clinicobiome programme at Gustave Roussy in the Paris suburb of Villejuif. The aim of this medical research programme is to examine how microbiota
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environment that encourages professional growth, mentoring, and a healthy work–life balance. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We are committed to research, valorisation and training socially engaged citizens
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close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. In particular
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Behavioural competencies Education You should have recently completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted
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Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop...
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Today, companies across a wide range of industries face the challenge of managing increasingly complex stochastic systems, where uncertainty is inherent and data is abundant. These systems arise in diverse domains—such as manufacturing, rental platforms, and production systems—where...
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please use the following link: www.rug.nl/research/ape Qualifications Candidates should have a PhD degree in materials science and engineering. A strong background in chemical vapor deposition and