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image processing PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

We have 104 image processing PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships

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Doctoral Researcher (f/div/m) in Automated Processing of Bioimages

Job Advertisement. Leibniz-HKI-24/2023. The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. Read more

Can digital pathology, radiomics and genomics data predict patient outcomes in solid cancers?

Solid tumour trial datasets are increasing in size and complexity. During their treatment journey and trials participation, patients with an advanced solid cancer will have various scans (CT, MRI, PET) repeated at intervals to assess tumour response (using RECIST guidelines). Read more

Artificial Intelligence in Offshore Wind Farm Maintenance

With the continuous and rapid growth of the offshore wind industry, how to efficiently and cost-effectively maintain the key facilities in remote offshore wind farms has become a key factor that directly determines the economic viability of offshore wind farms. Read more

Cancer Patients Digital Twins to Investigating disease fragmentation and its impact on drug response in AML trials

Not all patients respond equally to the same treatments. This project aims to explore if there are clues in a patient’s genome that can predict how they will respond to different treatments and are there common genomic signatures that will influence response to chemotherapy. Read more

Robust Deep Learning for Medical Image Reconstruction

The Department of Biomedical Engineering at the University of Dundee is inviting applications for a self-funded PhD research project under the supervision of Dr Alessandro Perelli. Read more

Neuromorphic RF sensing and processing

Artificial Neural Networks (ANN) have been a research topic since 1940's, even though it is only after the formalisation of the backpropagation algorithm for ANNs in 1986, that it has become possible to effectively train a non-linear ANN with multiple hidden layers of neurons. Read more

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