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, MATLAB/Python programming. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Shahzad Gishkori Eligibility
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related discipline. Good programming skills (e.g., Python, PyTorch, TensorFlow). A genuine interest in pushing the boundaries of efficient and deployable AI. Prior research experience (e.g., project work
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(highly desirable). • Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). • You have an excellent command of written and spoken English. What we offer: Inspiring
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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of Software Engineering; demonstrated collaboration and communication skills with an independent outlook in defining and solving research problems; demonstrated programming skills (Python is a plus
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study to be used as parameters in the model. 4) Model Implementation: Implement the model in Python, perform testing, and validate its performance based on the collected data. Applications must be
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experience in pytorch and/or tensorflow) knowledge of statistical methods and programming (R and Python) prior experience in machine learning and ideally also on applications in the health domain and/or
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of command-line tools, Python, or R for data analysis is a significant advantage. Language: Proficiency in English (written and spoken) is mandatory, as this is an international collaboration project. French
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experience working integrated in or with H2020 or Horizon European projects; Knowledge of python. LanguagesENGLISHLevelGood Research FieldEnvironmental scienceYears of Research Experience1 - 4 Additional
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programming skills (e.g., Python, MATLAB) would be desirable but are not essential. How to apply Interested applicants should contact Prof Tom Coulthard (T.Coulthard@mmu.ac.uk ) for an informal discussion