287 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD positions in United Kingdom
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deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants should ideally hold an excellent honours science degree (e.g. 1st class or international equivalent
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-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus
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tracking of wearables. The post holder must have advanced programming and modelling expertise, particularly relating to computational models of behaviour and eye-tracking using a broad range of approaches
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least 2.1 degree in human resources management, criminal/ employment law, criminology or a cognate discipline, and preferably Masters degree (average programme mark no less than 65%, UK grading scale or
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preferably Masters degree (average programme mark no less than 65%, UK grading scale or international equivalent). A recognised English language qualification is required. IELTS score of 7.0 overall
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research. The ideal candidate will have a strong foundation in Python programming and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. Applicants with a background in Natural
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record in heat transfer and heat exchangers. You will demonstrate the ability to plan, organise, and deliver complex research programmes effectively, ensuring timely and successful outcomes. Experience in
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of research with a continuous programme of practical skills training in semiconductor science, engineering and technology, and particularly suited to students from non-traditional education routes such as
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Programme, we will apply a portfolio of experimental techniques to better understand the safety characteristics of next generation batteries. This includes a range of laboratory tests (for example calorimetry
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with The Faraday Institution’s LiStAr programme, we will explore the development and optimization of QSS cells, including physical characterisation of degradation pathways at the anode and cathode