479 computer-programmer-"Multiple"-"O.P"-"Embry-Riddle-Aeronautical-University" positions in Netherlands
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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
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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
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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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expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering and in the Research School for Behavioral and
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will receive a fully funded PhD position and you will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 3,059.- per month rising
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programme in 2008. Through the CCI, ESA is developing a suite of global data records of key components of the climate system, known as essential climate variables (ECVs). The climate-quality datasets produced
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Connectivity Programme Department (CSC-I) in the Directorate of Connectivity and Secure Communications. The ESA Programme Related to EU Secure Connectivity, hereinafter referred to as “Secure Connectivity
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Service, Galileo Programme Office, Galileo and EGNOS Programme Department, Directorate of Navigation. The Unit is in charge of all signal-in-space and navigation performance engineering activities
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chemical reaction networks with robotic systems and analytical science. You will also learn how to programme robotic systems and how to implement aspects of deep learning and neural networks for reservoir