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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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, trillions of cells of multiple different cell types communicate with each other by releasing a thousand types of molecules. However, the functioning of biochemical signaling does not seem to comply with
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with vast experience in training and innovative research deployment. MATCH comprises some of the most renowned European universities, spanning across 6 different European countries. All
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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
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of physics into machine learning and deep learning architectures to create accurate, physically consistent, efficient and interpretable/generalizable models. This PhD project will contribute to the development
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advance next-generation biocatalytic processes both microbial and cell-free. PROSYS has a strong focus on combining experimental research and modelling tools to design sustainable and scalable bioprocesses
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the analysis of gene expression and neuronal activity across different models, with the ultimate goal of contributing to the development of treatments that could modify the neurodegenerative progression
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different membrane nanostructures could be correlated to antimicrobial efficacy and mildness or cytotoxicity. The project teams are developing new capabilities, highlighted by combining neutron reflection and
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Job description We are seeking a highly motivated PhD candidate to join our research group in the field of piezoelectric microsystems. The successful candidate will work on the design, modelling
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Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental