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with stakeholders to translate requirements into AI specifications and deliverables. Mentor research assistants and student project members; review code, support experimentation, and enforce good
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coding in bash and R/Python Experience in creating and maintaining Nextflow pipelines. Experiences of analyzing large-scale population data. Experiences working with electronic health records (desirable
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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systems and developing new design methods. Key Responsibilities: Conduct experiments on innovative structure systems Conduct numerical modelling Assess existing design codes Propose new improved design
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-on experience in specific scope Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in hard skills / job-specific abilities
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, codes, and calculations with minimum oversight. • Perform simulations to assess various study design options and analysis approaches. • Monitor discretionary spending in a team to ensure that spending is
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expected to assist with data coding of video and audio data for behavioural analysis of parent-infant social interaction and synchrony. Candidates with a proven track-record in one or more of these areas
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data interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated