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immunomodulatory compound, you will determine how it reprograms host lipid pathways to boost immunity and eliminate infection. Using lipidomics, zebrafish models and clinical samples, this research will identify
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investigations and geochemical modelling. Specifically, you will: Characterise variability in mineralogical and petrophysical properties resulting from fluid–rock interactions under representative reservoir
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from animal hosts (are ‘zoonotic’), yet it is hard to predict which pathogen species are likely to cross into human populations and why. This project will combine AI Large Language Models, extracting
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reservoir heterogeneity. This project will integrate core observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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, through course information or thesis deliverables in the application Skilled in either computational modelling or experimentation, paired with the willingness to work on both Personal characteristics
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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during the selection process: Good understanding of Software Engineering or Systems Engineering fundamentals Experience with modeling of software and/or system architecture Experience with agentic
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experience or strong interest in power system modeling, optimization, machine learning, and control systems. Documented programming experience (e.g., GitHub projects) in Python, Julia, MATLAB, or similar
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during the selection process: Good understanding of Software Engineering or Systems Engineering fundamentals Experience with modeling of software and/or system architecture Experience with agentic