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for anomaly Detection and diagnostics: Leveraging state-of-the-art machine learning and deep learning models for automated fault detection, classification, and time-till-failure prediction. This will involve
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load predictions for wind turbines, specifically the foundations, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime
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, prognosis and therapy response prediction of cancer patients. Liquid biopsies are now offering a great potential for minimally-invasive exploration of circulating tumor nucleic acids and cells. However, some
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measurement campaign using high-speed imaging and in-line force measurements on actual textile manufacturing machinery in collaboration with leading industrial partners. The goal is to develop a predictive
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stages is especially challenging due to limited data availability, making it difficult to predict environmental impacts accurately. Additionally, complex synthesis routes require integrating green
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the preparation and defence of a PhD thesis in the field of Medical Sciences. More specific, you will work on the validation of predictive peptide biomarkers to classify non-small cell lung cancer (NSCLC) patients
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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impacts on biodiversity is now. The overarching aim of CanopyChange is to quantify, understand and predict the impacts of no-analog light regimes and drought on below-canopy forest plant biodiversity
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. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic