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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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across a wide range of research projects. This role requires excellent communication and interpersonal skills, computer literacy, and data management. He/she is a key member of the project team and should
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testing and a willingness to learn. 5. The successful candidate should have appropriate report writing skills, basic statistics and possess computer literacy (Microsoft Word, Excel and PowerPoint
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. PhD Project Description Project Title: Photonic-Inspired Federated Learning for Communication-Efficient Next Generation Radio Access Networks (NG-RANs) Description: This PhD project will develop a novel
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–machine collaboration will ensure that factories remain productive, sustainable, and resilient even in the face of volatility. FLARE addresses significant challenges related to process design, system
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of trial team • This role requires excellent communication and interpersonal skills, computer literacy, organization and an awareness of time management. This role will focus in particular
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scheduling, self-healing control systems, and human–machine collaboration will ensure that factories remain productive, sustainable, and resilient even in the face of volatility. FLARE addresses significant
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research budgets including obtaining funding for retention and expansion of trial team This role requires excellent communication and interpersonal skills, computer literacy, organization and an awareness
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Maynooth University, National University of Ireland Maynooth; | Maynooth, Leinster | Ireland | about 2 months ago
, analog, mixed signal), IC verification, artificial intelligence & machine learning, signal processing, hardware programming languages and digital systems, computing and programming etc. The successful
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technical knowledge in areas such as: Foundational Models Algorithmic Research Machine and Deep Learning Computer Vision Edge AI, TinyML, and Embedded AI Explainable AI Safe AI Federated, Parallel