32 parallel-computing-numerical-methods Fellowship positions at University of Nottingham
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The University of Nottingham Ningbo China’s School of Computer Science is seeking to recruit a Research Fellow (in Computer Science; outsourced). About the Role: In this position, you will play a
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of research methods, research design, explanation, and understanding. What we offer A friendly, diverse, and supportive working environment; A vibrant on-campus research environment, supported by expectations
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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
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collaborations with artists, prototype with soft and rigid robots, run mixed-methods user studies, and contribute to the conceptual, methodological and ethical thinking behind the programme, as well as co-author
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hub dedicated to advancing brain cancer research. The Centre is supported by a prestigious 5-year programme grant from the charity ‘Brain Tumour Research (BTR)’ and represents a cross-Faculty research
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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and performance prediction; finite-element electromagnetic analysis; and machine topology development, design methods and optimisation. Your experience does not need to be in a particular machine
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scientific computing are essential; together with signal/image processing skills. Experience in methods for joint analyses across (preclinical) imaging modalities or microscopy processing would be desirable
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current methods cannot yet reveal how passive electrical properties vary within a single cell. In this role, you will conduct impedance imaging experiments on neurons using our in-house impedance microscopy
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criticise texts and bring new insights. Ability to creatively apply relevant research approaches, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively