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PhD Studentship - Marie Curie network MetaExplore: Functional metagenomics - novel biocatalysts for a sustainable circular economy from ultrahigh throughput screening. A postdoctoral position is
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of responses to images and model these representations with AI models (deep neural networks (including topographical), multimodal models, Large Language Models), 2) define and model dimensions related
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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is characterizing the solid-state landscape of drug candidates, which can involve complex solid-phase transitions such as the dehydration of hydrates, desolvation of solvates, and solid-solid phase
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. The research will probe beneath surfaces to detect impurities and internal features, while also exploring new methods for embedding invisible authenticity markers. Finally, advanced data tools and neural network
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for complex data accessible to the scientific community and to produce innovative methodology related to trial designs, longitudinal and event history data, precision medicine, causal inference, AI/machine
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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Immunoprecipitation Mass spectrometry of Endogenous complexes). We have identified about 50 proteins that can associate with Ascl1 or other NEPC transcription factors, some of which are enzymes that could in theory be
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tumours and metastases with the goal to design combinatorial therapeutic approaches. The project will involve the use of genetically complex organoid-derived transplantation mouse models of pancreatic