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We have 36 image process PhD Projects, Programmes & Scholarships for European Students (exc UK)

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image process PhD Projects, Programmes & Scholarships for European Students (exc UK)

We have 36 image process PhD Projects, Programmes & Scholarships for European Students (exc UK)

PhD Studentship at Imperial College Department of Bioengineering in Deep Learning in Echocardiography

A fully funded PhD position is available at Dr. Choon Hwai Yap’s lab at Imperial College. We seek a talented and highly-motivated PhD student, to perform innovative research in applying deep learning algorithms to image process echocardiography images and for extracting biomechanics as new cardiac health biomarkers. Read more

Optimisation of additive manufacturing process using data-driven machine-learning approach (Fully Funded PhD)

Lead supervisor: Dr Chu Lun Alex Leung. Eligibility: Open to UK students and international students. Fully Funded. 3 years of Home tuition fees (currently £5,860/year) and a tax-free maintenance stipend of £24,000 per year. Read more

Biomedical Engineering: Fully Funded Swansea and Boston Scientific Ltd PhD Scholarship: Bioprosthetic Design Evaluation Through Experimental-Computational Techniques

Funding providers: Swansea University's Faculty of Science and Engineering and Boston Scientific Ltd. Subject areas: Experimental Mechanics, Heart Valves, Digital Image Correlation (DIC), Particle Image Velocimetry (PIV), Biomechanics, Fluid-Structure Interaction. Read more

Eliminating Harmful Cells to Maintain Homeostatis and Prevent Tumorigenesis

Hamaratoglu Lab studies cell-cell signalling in development, homeostasis and tumourigenesis. We take advantage of outstanding genetic tools in Drosophila, and use larval imaginal discs as model epithelial organs. Read more

Data-Centric Solutions for Earth Observation Challenges: Developing Cutting-Edge Techniques for Remote Sensing Analysis

In today's data-driven landscape, the importance of data-centric machine learning methodologies cannot be overstated where they prioritize the quality, diversity, and accessibility of data, recognizing that the performance and reliability of machine learning models heavily depend on the data they are trained on. Read more

Investigating the self-organizing properties of cardiac cells in vivo

The key aims of this PhD project are to use knowledge gathered from high precision in vivo imaging and active matter physics-based theoretical modelling to assess how patterns of cardiac cell contractility drive cardiac tissue curvature. Read more

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