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essential. Experience with MATLAB or Python computer programming for neuroimaging data analysis is essential. Experience in MRI and/or EEG acquisition and analysis is desirable. Experience working on research
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Durham’s Sociology Department whose members, postgraduate researchers, and students collectively develop ‘sociological imagination’ and apply it to contemporary processes and issues. These include social
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to make, an impact on how we understand, prevent and treat mental illness, neurological conditions and other conditions that affect the brain. The Department of Forensic and Neurodevelopmental Sciences
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Experience in analysing drugs and metabolites from human breastmilk Competency in using computer software to collect and process data, e.g. use of Excel, statistical software and machine learning approaches
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microscopy and imaging. High level analytical capability and understanding of the scientific process. Independent intellectual critical thinking skills. Ability to communicate complex information clearly
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, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this
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already) and apply online. If you have any queries regarding the application process please contact Anastasia Nezhentseva. Email: an286@cam.ac.uk Telephone: (0)1223 330117 Please quote reference PF45896
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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researchers and PhD students, pursuing research in many aspects of field theory, string theory, and integrability (for more information, see www.hw.ac.uk/uk/schools/mathematical-computer-sciences/research/maths
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, and accept the right to pursue doctoral studies at Aalto University. For more information on the general requirements and the application process for doctoral studies, please visit https://www.aalto.fi