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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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. Disseminate outcomes through journal papers, conference contributions, and accessible briefs for stakeholders and workshops. Mentor and coordinate with ECRs/MSc/PhD contributors on methods, modelling, and
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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- and neuron-targeting anti-obesity drugs in these ex vivo systems. In parallel, you will collaborate with a team of postdocs, PhD students, and technicians working with genetic animal models
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culture models as their primary experimental system. The project will be co-supervised by Dr Ivo Lieberam (CGTRM) and Prof Juan Burrone. About the role This role is for a qualified and experienced scientist
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experimental characterisation, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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modelling; reporting findings in peer-reviewed journals and at international conferences; contributing to the supervision of PhD candidates within the team. Where to apply Website https
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is the construction of tail dependence models that are flexible, parsimonious, and computationally tractable, and scale well as the dimension grows. Recently, Kiriliouk, Lee and Segers (2024, X-Vine
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organoids derived from human induced pluripotent stem cells (hiPSCs). The Meng lab integrates brain organoid models with CRISPR-Cas9-based genetic screening, antisense oligonucleotide (ASO)-mediated mRNA