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for improving the quality and visibility of images affected by atmospheric haze. The student will gain hands-on experience applying linear algebra, image processing, and Python programming to a research problem
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and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder will also support the development of behavioural coding approaches for social interaction and
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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visualisation skills, with proficiency in Python and/or R. Preference will be given to those with brain MRI data processing experience. Applicants are invited to contact Dr Ji Hui via email at huiji.ji
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@upm.es Requirements Research FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Nivel demostrable de programación en Python, Ontologias, aprendizaje máquina e inteligencia
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/stochastic optimization and proficiency in Python or MATLAB. Applicants are invited to contact Dr Liu Wei at telephone number 2766 6928 or via email at [email protected] for further information
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building-energy data; (b) build load/renewable-generation forecasting and PV–ESS–HVAC energy optimisation/control models; (c) implement data pipelines, Python APIs and visualisation; (d) deploy and
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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interactions in the extreme ultraviolet (EUV) regime Develop new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python Formulate new theories pertaining
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familiar with programming languages such as R or Python and have a good command of written and spoken English. Those with expertise in MRI imaging analysis and neuroscience in clinical population, especially