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quality photometry (from optical to near-infrared wavelength) for roughly 100,000 sources. This dataset represents an ideal input to train different machine learning algorithms to classify objects based
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Management Continuous Improvement Forward Thinking Education A master’s in physics or engineering is required for this post. A PhD and/or hands-on experience on space hardware development would be an asset
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Education A PhD in a relevant domain is required for this post. Additional requirements Further assets for this position include: experience in instrument operations, experience in managing the development
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for the following tasks related to Earth observation (EO) technology: identifying technology needs for the EO spacecraft platform based on space system requirements, lessons learned from previous and ongoing EO
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; developing a knowledge exchange and communication strategy and annual activity plans, taking into account user requirements, while learning from previous knowledge exchange procurements and addressing
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-handling systems (such as mass memories and instrument control units) for payloads and platforms, microelectronics (such as FPGAs and ASICs), Artificial Neural Networks, AI and Machine learning, cubesat
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maintenance and evolution of the tools described above in order to maintain a complete overview and control of the Unit’s software infrastructure; Generating lessons learned and contributing to the knowledge
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, machine learning or deep learning. Additional requirements You should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as
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Trainee, you will develop most of your activity in the field of machine learning and, in particular, neurosymbolic computing. Neurosymbolic AI combines symbolic reasoning with neural networks to enhance
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solutions c) areas of improvement in the context of HCI (Human-Computer Interaction) applied to knowledge management systems d) ESA’s cultural diversity, its working norms and preferences for learning