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Field
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behavioral neuroscience or signal processing (especially of bioacoustics data) Programming experience (e.g. Python, R, Matlab, etc.) Strong communication and collaborative skills and proficiency in spoken and
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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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/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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energy trading strategies will also be proposed and investigated to achieve optimized P2P trading within the EC. The project will be done using MATLAB coding and modelling in Simulink environment. Funding
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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
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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Matlab or Python Previous experience in Finite Element Analysis Application Procedure Informal enquiries are encouraged and should be addressed in the first instance to Professor Chris Martin (chris.martin
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sports environments, especially road cycling, to have a grasp of the nature of the sport • Data visualization solutions (i.e. Power BI, Tableau, Google Data Studio) for producing reports • MATLAB
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Science, or a closely related field. Proficiency and interest in programming languages such as Python, MATLAB, or similar, used for large-scale data processing and model development. Excellent written and
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics