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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan
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bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and control hardware. Knowledge of building management systems, software integration
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with large-scale health datasets, including EHRs, administrative data and registry data • Be proficient in use of database management and statistical analysis software (e.g. STATA and R) • Have
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the use of SPSS/R studio/ and GIS software for basic and more advanced analyses (regression and spatial statistical analysis). Experience of working with open-source data, and with police forces and or
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modelling The candidate must be able to demonstrate the following technical skills: Software programming [practitioner level] - Conversion of the economic detriment model from Excel, automation of processes
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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
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technical planning and delivery. Lead the development of hardware-software integration workflows for monitoring, diagnostics, and control of battery systems. Produce high-impact research outputs (journal
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packages especially Excel and able to learn new software and CRM packages. This role offers the opportunity to support various teams and contribute to our collective success. We are looking for a good
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signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless systems on software defined radio
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software packages (e.g. Stata, SAS, R). Be expected both to support externally funded research projects, including clinical trials working in collbaoration with the UKCRC-registered Peninsula Clinical Trials