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Field
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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Overview of the CAPPA Centre: The Centre for Advanced Photonics & Process Analysis (CAPPA) is a research centre working in the fields of applied optics and photonics and is based at Munster Technological
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: Artificial intelligence and machine learning. Computer vision and video analysis. Deep learning. Multimodal data analysis. Signal processing or sensor-data analysis. Explainable or responsible AI. Healthcare
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at the intersection of acoustics, physical modeling, voice and health. During the PhD you will build a sought-after profile spanning acoustics, signal processing and clinical application, in strong demand in both
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and
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safety assessments that better reflect human diversity. What you bring MSc in (Bio)-pharmaceutical Sciences, Biomedical Sciences or Biology Expertise in (human) induced pluripotent stem cell culture, 3D in
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hotspots or detecting cancer-affected areas and support decision-making, while ensuring that no individual can be identified. Possible research directions include the generation of synthetic spatial point
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computer scientists or life scientists who already have a training in bioinformatics and are interested in developing their career in biomedical data science. In order to be registered to the PhD programme
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lipid signaling and metabolism drive disease—and innovate future therapies. PhD Position – Lipids and Cardiovascular Risk (LipidBRIGHT Doctoral Network) Our goal: To train the next generation of
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, uncertainty, missing information, and clinical signals for diagnosis, prognosis, and treatment response. The project may include patient-level embeddings from imaging, pathology, genomics, laboratory values