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opportunities for these diseases. The project will use a wide variety of data processing, data analysis, and statistical techniques to functional genomic data (ChIP-seq, RNA-seq, ATAC-seq, co-accessibility
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-responsive molecular machines. The project is funded by the European Research Council. Find out more about the Langton research group at: here About you Applicants must hold a PhD in Chemistry or a related
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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responsible for managing your own academic research and administrative activities and adapting existing and developing new research methodologies and materials. You will analyse quantitative data from a variety
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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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of data and report writing. This role also includes in collaboration and preparation of research publications, presenting findings and acting as source of information and advice to other members
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changes. In this role, you will take a lead on developing data analysis approaches and contribute to the overall study design and implementation. In particular, this will involve applying existing or even
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PhD in Inorganic or Materials Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in synthetic inorganic/materials
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://www.demography.ox.ac.uk) and link with the Pandemic Sciences Institute (https://www.psi.ox.ac.uk). To be considered, you will hold or be close to completion of a PhD/DPhil in Demography, Data Science, Statistics