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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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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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the ESA Contracts Department (CIC-C), Directorate of Commercialisation, Industry and Competitiveness (D/CIC). The Contracts Department is organised as a matrix function in support of the programme
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programme Molecular and Biophysical Life Sciences; willingness to obtain the University Teaching Qualification if you do not yet have it; a track record of international publications in leading journals; high
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Location EAC, Porz-Wahn, Germany Our team and mission The CAVES and PANGAEA team specialises in training programmes that equip astronauts and mission developers with scientific, expeditionary and
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Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes
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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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: 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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Exploration Programmes is a programme directorate within the ESA matrix structure. Through a partnership between humans and robots, D/HRE is dedicated to exploring destinations in space where humans are already
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This post is part of ESA’s Junior Professional Programme. We are looking for enthusiastic candidates with up to 2–3 years of relevant professional experience after their Master's degree to join ESA