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mechanisms behind ET are unknown but involve an overactivity in the brain areas that control body movements and coordination in general. The pathology may look different for different subgroups of ET. Deep
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of injuries to the upper extremity supported by machine learning and neural networks. The position is an initiative within the framework of the research initiative "Learning and brain plasticity throughout
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of the education. Both written and oral skills are intended. Assessment of these skills is done by a prospective doctoral student presenting the research plan in English to an assessment group, appointed by the head
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(MRI) measurements in neurological applications with the aim to develop and evaluate new approaches to measure flow in the brain's glymphatic system, potentially important for disease development in
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. Important personal qualities are creativity, an inquisitive mind and the ability to work independently as well as with others, either in a group or outside. You are also expected to have a willingness to
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. More information For more information contact Director of doctoral studies, Daniel Movilla Vega, [email protected] , +46 (0) 90 786 72 25 or or Head of Department, Professor Cornelia Redeker
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descriptions of how these levels change with aging, and are associated with cognitive changes, brain aging, and development of neurodegenerative disorders. The project will be based mainly on existing data from
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, +46 (0) 90 786 72 25 or Head of Department, Professor Cornelia Redeker, [email protected], +46 (0) 90 786 76 96. We look forward to receiving your application!
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at the doctoral level. After the selection of the suitable candidate, the process for the admission to doctoral studies will commence. The admission decision will be taken by the Head of department. About the
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of these skills is made by a prospective doctoral student presenting his/her research plan in English to an assessment group appointed by the Head of department. Other qualifications Previous experience in machine