330 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"University-of-Southampton" positions at University of Sheffield
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the alterations and assess the downstream effect on ALS pathogenic pathways in vitro and in vivo. We will support researchers with career development in line with the research development concordat and will support
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have experience of working to funder guidelines / eligibility criteria, have excellent organisation skills and be able to work to multiple deadlines across a range of projects. Excellent communication
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-driven designed electrodes. As a Research Associate working on Xerode you will research and develop novel particle engineering and deposition techniques, to produce powders suitable for dry printing
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-scale micro and macroeconomic datasets, ensuring their accuracy and integrity for use in the project's models. Assist in the development and implementation of advanced econometric models. Maintain
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safety. Led by Professor Mimoun Azzouz, The GTIMC at Sheffield is dedicated to advancing the clinical development of new genetic treatments options for millions of patients with life-threatening diseases
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of the facility. Led by Professor Mimoun Azzouz, The GTIMC at Sheffield is dedicated to advancing the clinical development of new genetic treatments options for millions of patients with life-threatening diseases
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adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
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the clinical development of new genetic treatments options for millions of patients with life-threatening diseases. The centre will include a cutting-edge GMP (good manufacturing practice) facility that will
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for our reception desk at times. As an apprentice, you will also engage in on and off-the- job learning and development activities. You will have effective communication skills and good IT skills, be
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method