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solutions, including training algorithms and preparing solutions for clinical implementation. Assess the impact of your workflow solutions after implementation, determining whether the expected improvements
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well as contributions on algorithms and hardware architecture [3][4][5], with the aim of implementing a hardware prototype that will constitute the primary mission of the recruited postdoctoral researcher. [2] https
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focuses on the design of approximation algorithms for multi-dimensional packing and scheduling problems. The position offers the opportunity to contribute to the theoretical foundations of discrete
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MV-CT workflow for historical waste characterization at SCK CEN’s LNK (Laboratory of nuclear calibrations) facility. Key innovations include advanced physics-informed reconstruction algorithms and
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related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm and experience in using these algorithm for electrical engineering problems
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work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
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out from a longitudinal perspective linked to the following three media regimes: television regime (1980s-1990s), digital regime (2000s-2010s), and algorithmic regime (2020s). It will be compiled using
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experiments; experience in research exploiting laboratory/synchrotron X-ray methods; experience in developing computer algorithms in Python, Matlab or an equivalent language relevant for materials analysis
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correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
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battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC), overall health