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& Computer Science of the Eindhoven University of Technology in the field of “Geometric Learning for Image Analysis”.The two year postdoc position is part of VICI Project (VI.C. 202-031, PI: R.Duits) and will
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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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informed decision-making grounded on a sustainable and responsible use of resources in manufacturing. Vacancy number 15918 Key responsibilities As part of this Postdoc position, you will be contributing
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- and decision-support systems for sustainability and circularity Contribute to the development of digital solutions to enable informed decision-making grounded on a sustainable and responsible use
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information- and decision-support systems for sustainability and circularity Contribute to the development of digital solutions to enable informed decision-making grounded on a sustainable and responsible use
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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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crisis, often referred to as the ‘silent pandemic’. Most of the antibiotics in clinical use are natural products derived from microorganisms. Large-scale bacterial genome sequencing has revealed that most
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for targeted exosome analysis which can also be applied to other volume-limited samples. This position is part of the EU-funded DRAGON project, which brings together biomedical and clinical partners from Italy
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screening, and screening workflow. Finally, we will work closely with industrial partners that are involved in every aspect of breast cancer image interpretation in screening, including AI, image analysis
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crisis, often referred to as the ‘silent pandemic’. Most of the antibiotics in clinical use are natural products derived from microorganisms. Large-scale bacterial genome sequencing has revealed that most