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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
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, Electronic & Computer Engineering; Chemical Engineering; Mechanical Engineering and Brewing & Distilling. 90% of our students were satisfied overall with their course in over half of the University's subject areas. At
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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neuroscience or a related field. Experience of MEG/OPM-MEG acquisition and data analysis is essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential
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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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scientific discipline. Experience in developing and running an atmospheric transport model. Experience in interpreting data. Experience with FORTRAN and Python computer languages. Proven ability to work
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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appreciated Ability to engage with interdisciplinary teams involving statisticians, computer scientists, and climate experts Programming experience in a scientific computing language (e.g., Python, Fortran
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programmes: Chemistry; Physics; Electrical, Electronic & Computer Engineering; Chemical Engineering; Mechanical Engineering and Brewing & Distilling. In the 2019 National Student Survey Heriot-Watt University