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written. With analytical skills, strong autonomy and team spirit, the research fellow will have to demonstrate a keen sense of organization and perform the tasks assigned to him/her rigorously. Ability
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in Computer Science or a related engineering field. Skills and Knowledge: Strong collaboration skills. Strong analytical and computational skills, including but not limited to an in-depth knowledge and
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Queen's University Belfast. The post holder will support the progression of the technology from TRL 4/5 to TRL 6/7 under the Invest NI Proof of Concept (PoC) Stage 2 programme, ensuring robust analytical
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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writing and analytical skills. Show strong initiative and take ownership of work. Able to work in a team with members of diverse backgrounds.
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imaging and downstream data analysis, strong practical skills in analytical chemistry, specifically LC and mass spectrometry. The candidate must have a strong publication record in the field of mass
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. Capacity to communicate fluently in English. Experiences on programming, analytical modelling and high-performance-computing will be appreciated. Please send (1) Covering letter (2) CV and (3) two references
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, environmental, demographic, or spatial data. Have experience in statistical analysis using R, Python, SPSS, Stata, or similar analytical tools. Have good organizational and communication skills and evidence of
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enthusiastic research team. To be successful, you’ll have: PhD in Accounting, Economics, Finance, Management, Marketing, Information Systems and Business Analytics, Law or a closely related discipline
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. This position is suited to an independent, research-focused academic with a strong publication record and demonstrated expertise in modern epidemiologic methods, advanced analytics and coding in R, and