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. Apply:https://informatics.ed.ac.uk/study-with-us/our-degrees/postgraduate-research-and-cdts/phd-3d-computer-vision-medical-imaging
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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» Cancer research Medical sciences » Epidemiology Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 May 2026 - 12:00 (Europe/Athens) Country Cyprus Type of
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project alongside 14 other PhD. students, all pushing the boundaries of quantitative imaging in plants. The ideal candidate profile: Must-have: MSc or equivalent degree (preferably in Life Sciences) Strong
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weekly working hours are 37 hours per week. Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of Health and Medical Sciences, University
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to shape future consumer, industrial, medical, and scientific visualization systems. Research themes: The PhD student will contribute to several of the following topics: Computer-generated holography (CGH
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 days ago
Researcher (R1) Positions PhD Positions Application Deadline 15 Mar 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract To be defined Job Status Full-time Hours Per Week 35 Offer Starting Date 2 Mar
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for a highly motivated PhD Student (m/f/d) -65% EG 13 TV-AVH- for the investigation of the impact of climatic conditions and light pollution on the development, activity and fitness of mosquitoes