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for improving the simulation and optimization of distributed systems, for instance by specializing neural ODEs and their training routines. This research will address challenges driven by the energy transition
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ecosystem physiological measurements from ground based eddy covariance towers, and modification of existing model structure and development of novel algorithms to combine in situ ecosystem physiology
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the development of data processing scripts and pipelines to the development, distribution, and maintenance of free software for the analysis of genetic data. This is an opportunity to work in a challenging and
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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men, and with article 61.2. f) of Valencia Government Law 4/2021, of 16 April, of the Valencian Civil Service, it is hereby stated that the percentage distribution in the contractual job vacancies of
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all aspects of the processing and analysis of genetic data, ranging from the development of data processing scripts and pipelines to the development, distribution, and maintenance of free software
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following department/specialty algorithms, the Scheduler critically evaluates the nature and urgency of scheduling requests to provide comprehensive clinical ambulatory scheduling for providers within
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algorithm development to hardware in the loop (HIL) validation, architectures for autonomous coordination through guidance, navigation and control of distributed space segments, under cooperative and non
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Offer Description The researcher will develop various applications, algorithms, and AI techniques for Virtual Power Plants (VPPs) within the distribution grid environment. These will include neural
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members