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desirable. Strong analytical capabilities and proficiency in the quantitative analysis of large datasets are also required. Click the 'Apply' button below to register an account with our recruitment system
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with a large and diverse research team. Previous experience with bioorthogonal chemistry and purification and characterisation of modified biopolymers by advanced mass spectrometry is desirable. We
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(e.g., Reinforcement Learning, Agent Based Modelling) to join our team full-time as part of a large international collaboration of European researchers (incl. Tobias Dienlin, Veronica Kalmus, Adrian
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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of economics, programming in MATLAB and JULIA, and the Health and Retirement Study data is necessary. Understanding linkages with administrative medical records is also highly valuable. The successful candidate
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Maintaining accurate and organised records of animal studies and ensure data is captured in lab databases Complying with all regulatory requirements including Home Office licences, local AWERB oversight, and
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research, publications and other research outputs. The purpose of this role is to assist with the data collection and analysis for this project, including research in archives based in the United States
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and experience of working collaboratively. You will join the SAMS consortium and the internationally renowned atomic astrophysics group at DAMTP, providing atomic data to the world-wide community
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security check. Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. For more information about our research please see: https