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particular in deep learning, LLM, digital hardware design, embedded systems, audio processing; Proficiency in deep learning frameworks (e.g. PyTorch) and programming skills (SystemVerilog, Verilog, Python, C
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with the Galileo Space Segment Equipment Management Unit for all satellite-relevant aspects; liaise with the Galileo FOC Satellite Management Service to ensure the transfer of lessons learned; closely
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the completion of the master’s degree, the position may be filled at A1 level. Applicants must be eligible to acquire the security clearance by their national security administrations. During the recruitment
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to teach several courses, with an emphasis on the courses that are part of the ‘statehood and integration’ track of the International Justice major, and courses within the first-year Global Challenges
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). You have an established background and/or keen interest in language evolution, human evolution, language learning and/or communication. You have hands-on experience in designing and using VR
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-up; Perform the tests according to the test plan; Data analysis and reporting. In this project you will learn about space science instruments, space science detector technology, performance characterization
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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engineering or computer sciences is required, with specific skills in: Back-end / Front-end programming languages and frameworks used in the ATD project: ASP.Net, .Net Core, HTML, JavaScript, MS Visual Studio
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intervention studies. You have excellent interpersonal and communication skills. You have a proven ability to work independently. Ideally, you also have ample experience with reinforcement learning
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industrial procurements. Engineering experience in a project or programme will be considered an asset. Knowledge of computer systems and information, planning and coordination tools, such as esa-p, Microsoft