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skills and motivation to implement algorithms and test them in practice on large-scale problems. Programming Skills: You are proficient in at least one scientific programming language (such as Python
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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reliable and reproducible measurements across different assays. In this PhD project, you will develop RMPs and reference materials (RMs) for several protein TMs to enable harmonized and reproducible
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experimental testing. You’ll design and run experiments, write and train algorithms, and contribute to open-source tools that may one day become industry standards. This project offers the freedom to explore
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involved, leads to complex logistics problems. The planning of rolling stock circulations and the regular maintenance at the various service locations is typically done by different planners. In addition
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laboratory facilities. More specifically TEC-EF responsibilities encompass at subsystem and instrument level: Payloads with RF interface exploiting different technologies (e.g., analogue, digital, optical
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target is observed by a different portion of the azimuth antenna pattern. This effect along with an antenna beam mispointing causes a periodic modulation of the image radiometry and a variation of the
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, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification approaches. The goal
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Description Job description We are seeking a talented and creative researcher for a challenging and innovative project focused on developing the next generation of algorithms for high-speed super-resolution
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent