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Medicine (CTM) (50%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project
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supervise data collection and analysis; (c) assist in liaising with collaborators and managing the project procedure; and (d) perform any other duties as assigned by the project leader or her delegates
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, architecture, material engineer. The Research Fellow will be responsible for conducting and leading simulations, field measurements, data analysis, as well as laboratory and field testing throughout the duration
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(EMS) Developing a procedure for local manufacture of electrolyte Analysis and publication of data from the installed battery The successful candidate will work in collaboration with SOLead Energy, a
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. Experience in AI system security, adversarial robustness, and resilience of autonomous agents in emerging technologies and computer security (e.g., malware analysis, bug detection, program repair). Excellent
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from a single cell to the mature blastocyst. This will involve a combination of computer simulation (e.g. in C++ or MATLAB) and mathematical analysis. As well as intrinsic interest in embryology
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%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project (BUMP, focussed
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behavioral analysis to uncover how molecular pathways shape brain function, aiming to bridge molecular and systems neuroscience. Our core platforms include: 3D & 4D confocal fluorescence microscopy 1P & 2P
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project (BUMP, focussed