271 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" positions at University of London
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solutions to develop and optimise novel seed treatments - enhancing crop resilience, improving performance, and supporting more sustainable agricultural systems. The postholder will be seconded to Eden
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of the faculty and wider institution and make contributions to student education and experience through curriculum development and the delivery of teaching activities in the subject areas such as data analysis
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Respond to a range of queries from staff and students Develop excellent working knowledge of a variety of IT systems and platforms ranging from Microsoft Excel to University specific software and platforms
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Human Development, Social Policy, Health and Social Care topics and with teaching and practice experience in Social Work. We expect applicants to possess a broad range of skills needed to teach
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the programme's success. Please note, this is a fixed-term contract. The ideal start date would be November 2025, to end circa June 2027. Main Responsibilities The postholder will co-develop business data
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Officers, supporting them to be their very best at Queen Mary, and will play a key role in supporting the Associate Director to foster a culture of inclusion and continuous development within the team. About
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the Immigration, Asylum and Nationality Act 2006. Full-Time for 35 hours per week (would consider Part-Time). Maternity Cover for 10 months. The Estates Department is in the process of developing the University’s
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provide clinical input into data-enabled quality improvement programmes supporting general practice across North East London. You will work closely with CEG’s multidisciplinary team to co-develop decision
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teaching experience in cinematography in higher education, and will be supported to develop their teaching practice through appropriate training. The successful candidate will have excellent communication
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software