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to classify unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD/MSc degree from Computer Science with research
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analyse multi-omics data (genomics, transcriptomics, proteomics, etc.) and medical images from patients with rheumatoid arthritis, with a focus on identifying biomarkers and developing predictive algorithms
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deliver high-quality teaching and assessment in digital signal and image processing, biomedical signal processing and data science. You should also have clear and ambitious plans for pedagogical activities
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and Machine Learning in Healthcare, Medical Digital Twins, Biomechanics and Computational Physiology, Biomedical Signal Processing, Medical Imaging and Analysis, Systems and Engineering Biology, and
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Interactive Media. The successful candidate will teach modules in music and screen media from practice-based and critical/theoretical perspectives. These modules may cover skills including scoring to picture
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group members and collaborators. About You Applicants must have a PhD in radiochemistry or radiopharmaceutical science, covering a wide variety of radionuclides, in particular radiometals for imaging and
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normal visual range) to generate detailed 3D images of any patient with high resolution! This is the global vision and targeted ambition of this 2050 proposal. This will allow us to target very early
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Research Group. About You You should have a PhD in biological/chemical sciences or equivalent qualification, have demonstrable research experience relevant to the project and own digital literacy. The ideal