126 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of London
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. Proficiency in Microsoft Excel is essential, along with a willingness to learn new systems. Strong organisational and numerical skills are key, as are excellent interpersonal abilities to build effective
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CoSector CoSector – University of London is a digital services provider that operates as part of the University of London. It evolved from the University of London Computer Centre (ULCC), established in 1968
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strategic plan, also have Centre-specific objectives and requirements. The postholder will be based in the Pragmatic Clinical Trials Unit (PCTU) in the Centre for Evaluation and Methods. The PCTU is a fully
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. Candidates should have excellent organisational and numerical skills and the ability to work both independently as well as part of a team. In addition, they should be able to demonstrate commitment to working
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Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
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demonstrable experience in analysing datasets such as infectious disease surveillance, applying statistical methods, and interpreting output. Further particulars are included in the job description. The post is
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, oral communication and numeric skills are essential. Further particulars are included in the job description. The post is full-time 35 hours per week, 1.0 FTE and fixed-term for 12 months with potential for extension
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projects and initiatives, offer training and teaching in digital methods and approaches, and carry out interdisciplinary research and supervision. The DHRH currently hosts the UK-Ireland Digital Humanities
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the school as well as those across other academic and professional services areas. Candidates should have excellent organisational and numerical skills and the ability to work both independently as
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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