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Field
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and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and expertise in analysing/ training models on biological or chemical
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experimentation, applying state-of-the-art single-cell multiomic approaches and functional genomic screens to patient-derived samples and disease models. Working closely with a dynamic and multidisciplinary team
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About us The Green Laboratory investigates tissue morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and
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resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source that does not require arable land
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. • To develop and improve theoretical models of fluid dynamics, solid mechanics, soft matter or active matter. • To carry out analytical calculations in the context of theoretical models of fluid
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, Oxford, Leeds, Reading, and Birmingham) and international (Utrecht University, ETH Zurich, Université Catholique de Louvain, etc.) scientists to use new modelling resources and methods to elucidate drivers
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, trustworthy AI, explainable AI, large language models, quantum computing.
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in peer-reviewed journals IT skills (e.g.- programming skills) Knowledge in Computational Medicinal Chemistry, Chemoinformatics, and Molecular Modeling Excellent knowledge of English (C1) Team player
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form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism
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that the microbiome has in providing stress resilience. We will use duckweed as a model to frame this question. In addition to being a model species, duckweed is also emerging as a promising new protein source