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PhD Student (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray scattering experiments with
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development of evidence-based policies that protect the public from online harms—including misinformation and disinformation, algorithmic amplification of harmful content, political manipulation, harassment
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learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks include: Managing the research and development projects
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. The successful candidate will be able to teach one of the undergraduate courses related to AI/ML, programming languages, data structures and algorithms, operating systems, network security, visualization, and
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in applying experimental techniques to experiments at the LHC, in particular the use and operation of ultrafast time-of-flight detectors and exclusive production selection algorithms based solely
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. Such methods are founded on mathematical models and algorithms from the field of mathematical optimization. The dose planning is based on medical images and a treatment protocol, and it is evaluated by using key
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designing and implementing advanced control algorithms to coordinate multiple energy sources including battery energy storage systems (BESS), solar PV, and diesel generators, and dynamically assign grid
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functional theory codes and/or machine learning algorithms will be an advantage, or hands-on experience in physics laboratories. - A good knowledge of English is required Main research field: Physics Sub
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid
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to verify the operation of the algorithm. Optimize the memory usage of the algorithm and provide a memory consumption report. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for