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is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer
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to leverage innovative machine learning (ML) techniques adept at handling sparse information. The impact of data pre-processing techniques will be assessed with the aim of improving the accuracy of predictions
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experimental characterisation methods. We are looking for applications from enthusiastic candidates. [PhD project description] Project title : Machine Learning-assisted Development of Highly Functional Organic
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experimental campaigns to acquire the data required for his thesis, as well as for the MONI-TREE project as a whole. The PhD will take place in LETG-Rennes, with expected missions to ONERA's Palaiseau for works
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models validated in WP3 will be implemented in the free TDMx software. What we offer The future PhD student will benefit from the expertise in pharmacometrics and machine learning of Profs Grégoire and
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experience in data science and machine learning. A good command of spoken and written English Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able
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. Knowledge and experience in data science and machine learning. A good command of spoken and written English Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate
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: Forecasting Future Environmental Impacts of Photovoltaic (PV) Manufacture Using Machine Learning Techniques This PhD will suit applicants who are keen to make a difference in how we utilise advanced materials
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project is a pioneering initiative that seeks to revolutionize the field of community resiliency and sustainability analysis through a machine learning (ML) and explainable artificial intelligence (XAI
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be able to segment the data into appropriate frequency bands and also develop deep learning models to identify sound sources (e.g. traffic, bird song, speech). This approach will provide far more