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broad genomic screening and (2) support hospitals in mitigating the impact of pandemics through optimized decision-making and data collection strategies. The project brings together experts in artificial
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this for data mining of existing scRNAseq datasets in the lab, as well as publicly published and newly generated data. You will study how abnormal genetic content modulates cell fate decisions in pluripotent stem
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, for the preparation of a doctorate, contains: We invite you to apply for a PhD position supported by the Marie Skłodowska-Curie Doctoral Network HARNESS - Harnessing AI and Data-Intensive Technologies
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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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catalysts. Particular attention will be given to investigating structure-function relationships during different stages of the CO₂-to-alcohol cascade process. TEM data will help clarify the spatial
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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material, link specimen data to literature, identify synonyms, and unlock historical texts, improving access and connectivity within taxonomy. Unlocking Type Material via Bioinformatics Development
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devices. The project will involve significant collaboration, sample exchange, semiconductor and device characterisation. For more information on the position please contact Prof. Phil Dale or Prof. Alex