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(30%) Assist in the design, planning, scheduling, and coordinating laboratory and field experimental works in support of various research projects (7%) Program coding, machine learning algorithms
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one of the following areas: wireless localization, wireless sensing, AI/machine learning for communications, or signal processing. Ability to conduct experimental research independently and
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, or related languages • Experience with image processing, registration, machine learning, or computational neuroscience methods • Interest in aging, neurodegenerative disease, developmental disabilities
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Abilities: Proficient in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim, BERTopic
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; · Perform other duties and provide additional support as assigned. Knowledge, Skills, and Abilities: Proficient in data analysis, modeling, machine learning, and AI, using Python and SQL, with extensive
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, professional staff and students. Willingness to learn and accept new methods, techniques, technologies, and computer software applications Ability to train and direct laboratory staff and students Ability
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. Demonstrate good computer skills, including use of Microsoft Word, and PowerPoint, and the willingness to learn other software tools (e.g. Endnote) if not already familiar. Knowledge of online library computer
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/recruitment/2-year-postdoctoral-p… ** Project ** Computational and high field MRI characterization of learning and decision-making ** Supervisor and contact ** Dr Florent MEYNIEL https://www.unicog.org/lab
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning
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of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical