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A Research Associate post is available in the Drosophila Connectomics Group directed by Greg Jefferis and Matthias Landgraf in the Department of Zoology at the University of Cambridge. The applicant
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Fixed-term: The funds for this post are available for 24 months in the first instance. Applications are invited for a post-doctoral research associate to work in the group of Prof. Hugo Bronstein
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. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
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genomic data. -Analyse and integrate different 'omics data to understand milk biosynthesis pathways. -Apply machine learning methods and statistical approaches to explore and interpret data. -Organise data
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have experience in code development and/or use of first principles methods (e.g. DFT) and/or machine learning methods, as well as experience in working with experiments and/or experimental collaborators
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lab members in advanced analysis techniques. The ideal candidate will have a strong research background in AI-driven human motion analysis, wearable robotics, and human-machine interaction. They should
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content learning. The PDRA joins the team in the first years of the project. The expected start date for this role is 1 August 2025. The post is full time and fixed term until 30 November 2026. Main
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lab investigates systems neuroscience questions, specifically the role of cortico-subcortical loops in statistical learning. We focus on the auditory system and perform awake/asleep electrophysiology
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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high-resolution genetic and biochemical perturbations to understand phytohormone cellular dynamics. This post will involve use of existing plants expressing biosensors to illuminate previously