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of the academic degree and/or diploma(s) required in the competition, preferably indicating the final average and the grades obtained per curricular unit. Candidates holding foreign qualifications must prove their
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the context of global climate change. The work will entail developing quantitative prediction models that will be integrated to wider health systems software for the predictions to be directly used for early
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, electrical power and propulsion system of electrical ships. ii. Carry out testing of the simulation models, fix problems, and improve the performance. iii. Take part in the web application and software system
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testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair
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simulation, and real-time sensing—paving the way for next-generation human-relevant testing systems in drug discovery, toxicity screening, and precision medicine. Key Responsibilities Design and develop micro
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planning. b) Have knowledge of statistical computing, data science, data modelling, or data visualisation languages and software (e.g., PowerBI, Python, R, SAS, SPSS, SQL, Tableau, etc.) c) Have experience
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, transferring and transforming data, and statistical data analysis. Experience in using one or more statistical software packages (e.g. R or similar). Experience working with routinely collected cardiovascular
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will work as part of an EPSRC funded project aimed at the design, synthesis, characterisation and testing of polymers as antivirals. The successful candidate will create and contribute to the creation
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in experiments or fieldwork. Organize and manage research data, including data entry, coding, and maintaining data integrity. Use relevant software tools and methods as required. Assist in conducting
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, lamination, and testing. He/she will contribute to the development of new application driven materials and production processes, located mostly at Nanyang Technological University. Key Responsibilities: Lead