88 computer-science-image-processing-"Faculty-of-Engineering" Postdoctoral positions in Netherlands
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- University of Groningen
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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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is embedded in the TechMed and DSI Institutes. [https://www.ram.eemcs.utwente.nl/] About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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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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is embedded in the TechMed and DSI Institutes. [https://www.ram.eemcs.utwente.nl/] About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses
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of this technology, is the development of methodologies that allow conventional livestock framers to maintain a source of income as CellAg develops. In this project, we aim to develop a scalable process that can be
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Processes and Materials group within the department of chemical engineering of the Faculty of Science and Technology at the University of Twente (The Netherlands). You are encouraged to visit the different
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or a related engineering field. Industry experience in the domain of engineering is a strong plus; Experience with bio-microfluidics engineering (Computer-Aided Design and micromilling), biosensing and
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missions. Our team and mission The European Space Agency maintains a world-leading Science Programme with missions in heliophysics, planetary science, astrophysics, and fundamental physics. Within ESA’s
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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1250 m2 of cleanroom space and state-of-the-art research equipment. About the organisation The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW) engages some 700 staff members and