87 phd-mathematical-modelling-ecological-modelling Postdoctoral positions in Netherlands
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Job related to staff position within a Research Infrastructure? No Offer Description Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
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/postdoctoral-researcher-in-oper… Requirements Specific Requirements Motivated researcher with a PhD degree in Operations Research, (Applied) Mathematics, Industrial Engineering, or related field. A strong
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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 and validate
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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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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
public institutions in the justice sector. The project will seek to understand how software production -- the practices, economic models and material conditions necessary to deliver digital services
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with
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motivated and independent researcher with: a PhD in marine biology, ecology, or a related field. experience in marine mammal research, particularly in data collection and (statistical) analysis. strong
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and data acquisition. Collaborate with EXIT071 to advance dzITP technology for diagnostic and drug discovery applications. Optionally mentor or collaborate with MSc and PhD students involved in
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object