650 parallel-computing-numerical-methods-"DTU" Fellowship positions in United Kingdom
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learning and artificial intelligence methods in spatial analysis within the Department. Land Economy is defined as the multidisciplinary study of how society interacts with the environment, both natural and
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theoretical knowledge and practical experience of quantitative research approaches and methods to lead on the development and implementation of research projects. As part of this role, you will also support
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We wish to appoint a Research Fellow/Senior Research Assistant for a duration of four months full time/part time equivalent to work within a research team to conduct a mixed methods evaluation of
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(summarising progress, methods and findings) to report at Advisory Board meetings and act upon guidance and recommendations from the Advisory Board. Apply knowledge in a way which develops new intellectual
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: Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental
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, multidisciplinary facilities for studying cellular and animal disease models. It also maintains numerous collaborative research links across the UCL Queen Square Institute of Neurology, UCL, the UK, and
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interdisciplinary and mixed methods approaches. You will support the University&©s goals in driving research development and enhancing research capacity locally and globally. You will have a PhD in global health or a
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provide methodological support to other work packages where relevant, ensuring high-quality qualitative/multi method research integration within the broader research programme. You will be based in
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maintenance of equipment. Job Requirements A degree in Computer Science or relevant field Experience with software development life cycle For app developer role: Strong knowledge in C++ and/or Javascript for 3D
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for candidates interested in acquiring experience of research in a world-class academic unit (see http://www.wrh.ox.ac.uk). The post supports a Phase III programme of work aimed at testing and validating