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Field
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bioinformatic tools to develop innovative models and investigate on lineages commitment, cell type evolution and cell-cell interactions (e.g. Cao et al., Nature 2019; Lemaire et al., Science Advances, 2021; Chen
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Areas of study Neuroscience, Physics, Applied Computer Science, Bioinformatics, Computer Science, Engineering Informatics, Medical Informatics, Chemistry, Analytical Chemistry, Inorganic Chemistry
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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wide spectrum of genetic, molecular and cell biology, biochemical as well as immunological and bioinformatics techniques to study translational aspects of cancer (e.g. Cre/loxP and Flp/FRT based dual
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biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g. Cre/loxP and Flp/FRT based dual- and triple recombinase systems, orthotopic
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embedded within leading research teams with strong training and support networks, that are committed to removing barriers to participation in research. The Microbes, Microbiomes and Bioinformatics (MMB
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interest in experimental microbiology. The Microbes, Microbiomes and Bioinformatics (MMB) Doctoral Training Partnership (DTP) is open to UK and international candidates with relevant undergraduate degrees
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to mark.webber@quadram.ac.uk or alison.mather@quadram.ac.uk The Microbes, Microbiomes and Bioinformatics (MMB) Doctoral Training Partnership (DTP) is open to UK and international candidates with relevant
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. The academic environment possesses expertise in molecular biology, developmental biology, reproductive biology, and bioinformatics. The PhD candidate will be supervised by an interdisciplinary team
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Primary supervisor – Dr Falk Hildebrand We are looking for a motivated and computationally interested student, to work on a bioinformatic project on cutting-edge metagenomics and clinical