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Field
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Are you motivated by improving reproducibility, engineering reliable pipelines, and deploying cutting-edge retrieval algorithms in real‑world settings? We are looking for a skilled and driven
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deliveries). You will build a prototype algorithm that can be used by infrastructure and civil engineering professionals to better evaluate cable and pipeline location data. Your tasks will include: 1
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DSP algorithms for FSO communications.
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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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, 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
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: The use of data science and AI methods and techniques within the security and cyber domain, with special focus on ethics and algorithmic transparency; Human-Technology Interaction: Developing robots
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simulated data and ground-based test datasets. The selected intern will become familiar with the Ariel pipeline’s structure and algorithms and will have the opportunity to directly compare its performance and
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Do you have significant experience with algorithms for interval path planning, and are you motivated to bring these closer to the railway industry? Then this position is for you! Job description The
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the security and cyber domain, with special focus on ethics and algorithmic transparency; Human-Technology Interaction: Developing robots, simulations, and games, which use a variety of AI technologies to learn
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Cubiq Technologies and the two research groups. You will be a part of a team that consists of 1 EngD, and 2 PhDs. Successful candidate will work on a field demonstration of DSP algorithms for FSO