227 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" positions at University of London
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Conference and Event teams. For a full role profile, please refer to the job description below. Further information To be considered for this opportunity, please submit your application (by clicking ‘apply
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Information To be considered for this opportunity, please submit your Application (by clicking ‘apply for job’ at the bottom of this page) before the closing date at midnight on the 8th of February 2026
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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orientation, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet
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and database synovial tissue and biospecimens. Perform histology/immunostaining (IHC/IF), RNA/DNA extraction, and gene expression profiling. Support QA audits, data analysis, and reporting. Maintain
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saving opportunities. Comply with data protection requirements. Collate handover notes and record all programme data in central storage drive Who we are looking for You either have your own events company
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will provide high-quality information, support, and guidance to applicants and students on a wide range of welfare and wellbeing issues, ensuring a professional, inclusive, and student-centred experience
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taking on new challenges and thriving in a role with varied opportunities each day, we encourage you to apply. For a full role profile, please refer to the job description below Further Information To be
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, or trans status or history. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be