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Field
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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reference architecture for data visiting. This paradigm enables algorithms to securely access and process data within the environments where it resides, supporting federated learning for training machine
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(FELIX) for ATLAS detector systems. The group also has a strong record in track reconstruction, flavour tagging algorithm development as well as physics data analysis, with a focus on Higgs boson physics
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motivation to independently formulate research projects and carry them through to completion; Mathematical skills and command of standard software packages for implementing of optimization algorithms, and a
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data, complicated algorithms are required. Some of these algorithms are yet to be developed and/or validated, with real data from polar regions required in order to do so. A dedicated airborne radar
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adaptability, and safety; Applying AI and optimisation techniques (e.g. reinforcement learning and evolutionary algorithms) to adapt locomotion strategies to varying surface conditions; Supporting
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scalloping; propose strategies or algorithmic improvements for future SAR systems to minimize scalloping effects, ensuring reliable and high-quality interferometric measurements. Behavioural competencies
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collaborate with software engineers, systems engineers, and operations specialists, and you will see your algorithms tested on realistic scenarios and data. Candidates interested are encouraged to visit the ESA
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, computer science, mechatronics, AI, or a related engineering field; Programming experience in current programming frameworks such as Python and C++; Understanding of control principles, algorithms, and 3D