888 application-programming-android-"Multiple" Fellowship positions in United Kingdom
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STEPS 2: Functional Stimulation in Parkinson’s Disease, qualitative study About the post: Applicants are invited for a part-time Research Fellow position to join a multidisciplinary team of
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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processes that use data-driven machine learning. Given the span of the IN-CYPHER programme, we are seeking multiple motivated research fellows. Unique in its scope, we are developing technologies that span
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data
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Department and contributing to the mental health and neuroscience focused NIHR Support Service Hub hosted by King's College London and Partners. You will play a key role in the innovative NIHR program grant
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applications; To build relationships with both internal and external contacts in order to exchange information, to form relationships for future collaborations and identify potential sources of funds and/or
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qualitative and quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing
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to national and international conferences as well as be involved in the writing and submission of grant applications related to their particular area of research. You will also be responsible for the clinical
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quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing (e.g., EEG