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or biology. In this role, you will work closely with Dr. Lynn and other lab members, employing cutting-edge optical imaging tools and computational analyses to determine how spatial and temporal features
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge of the protected characteristics of the Equality Act 2010, and how to actively
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observables will be an advantage. The expected IPMU salary is estimated to be 8,400,000 yen per annum, plus commuting and social security benefits. Please direct enquiries about the role to Dr William Coulton
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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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objectives and deadlines To a limited degree, to support the HEU teaching programme, particularly in relation to the Masters programme in Health Economics and Health Policy/Econometrics To support any other
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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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genetics, AI in healthcare, precision medicine, and computational biology. Role holders will be expected to plan and manage their own research and administration, with guidance if required. They will be
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage