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and self-motivated postdoctoral researcher with a strong background in molecular and cellular biology, as well as computational biology. A track record of effective communication, teamwork and
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BST on Thursday 22 May 2025 Interview Date: Monday 02 June 2025 Reference: PPS-0092-25 We are looking for a highly motivated, experienced molecular parasitologist to join our friendly, inclusive
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migration and in vivo murine models of inflammation and technical expertise in complex flow cytometry is essential. The previous ability to work with rodents would be advantageous, whilst experience in
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of London. This Welcome Trust Funded post will be based at the Centre for Molecular Cell Biology (CMCB) within the School of Biological and Behavioural Sciences (SBBS) at Queen Mary. The project is focused
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-edge machine learning techniques will be used, including Large Language Models (LLMs). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
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and/or evolutionary biology, with significant experience in embryological methods, single-cell/nuclei approaches, and general molecular biology techniques. A track record of high-quality published
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling