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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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screen-printing techniques for conductive materials, chemical functionalization processes for electrode-to-sensor conversion, and electrochemical data analysis. Additional training includes electrode
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name, select SSEHS. Please quote the advertised reference number: FCDT-26-LU6 in your application. To avoid delays in processing your application, please ensure that you submit the minimum supporting
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efficiently model structured dynamics, such as non-Markovian stochastic processes, and adaptive agents that react to environmental stimuli. The successful candidate will explore this structure, to understand
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eligibility and the application process please contact Engineering Postgraduate Research Admissions admissions-engpgr@bristol.ac.uk
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. . Please quote AK/Chem/2026 under ‘Departmental Studentship Applications’. Application deadline: 12.00 noon UK time on Thursday 8th January 2026. Queries relating to the application and admission process
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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surface and directly influence by the sea state. This interaction is of particular interest when atmospheric conditions suit cloud formation. Windfarm operation has been shown to modify the MBL through
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Standards. Deep understanding of aircraft design and certification processes. Opportunities to collaborate with NASA, Airbus, and other global leaders. Present your research at top international conferences