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(100%) doctoral scholarship holder in the field of computer vision and modelling for biomedical applications Position You will work actively on the preparation and defence of a PhD thesis in the field
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information, please contact: Priv. Doz. DI Dr. Simon Schneiderbauer, P +43 732 2468 6482, E-mail: [email protected] . Location: Altenberger Straße 69, 4040 Linz Where to apply Website https
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/Qualifications Admission Requirements a) Be enrolled in an Integrated Master's or Master's programme in Electrical and Computer Engineering, with a major orminor specialization in the Scientific Area of Energy or
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will be immersed in a unique learning environment at the interface of clinical research, neurocritical care, and data analysis. This three-year fixed-term post as a university assistant (PraeDoc
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Additional Description Reporting to the Metadata and Digital Scholarship Services Manager, the Digital Scholarship Data Librarian works with Digital Scholarship staff and student employees to help
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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automated detection models (deep learning and/or classical) for ROI identification from lower resolution or degraded MRI data Develop simulation frameworks to generate realistic low-resolution or motion
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Scholarship Opportunity This is an opportunity to undertake a fully funded masters’ degree and an interdisciplinary PhD under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme
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Document found at: https://libraryguides.missouri.edu/ld.php?content_id=85143053. Application Materials A cover letter, contact information for three references and CV must be uploaded through the brief