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2 Sep 2026 Job Information Organisation/Company Johannes Kepler University Department Department of Particulate Flow Modelling Research Field Engineering Computer science Mathematics Researcher
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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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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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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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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 10 days ago
professional networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 11 days ago
networking opportunities # A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here
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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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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