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candidate will carry out multidisciplinary research focused on AI systems for edge computing applications in speech processing. This includes: Developing advanced voice verification, recognition, and anti
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, particularly in the use of Microsoft Office and similar software. Contact For further information about the position, email Nic Roberts at N.Roberts@soton.ac.uk Working at the University of Southampton: Check
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responding quickly to situations and taking ownership to identify and resolve issues. Excellent verbal and written communications skills A comprehensive understanding of cloud-based software including Teams
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verbal Able to work autonomously and demonstrate initiative Organised with superb attention to detail Able to prioritise their work and mange across workflows Confident using Microsoft office software
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Business World, or a similar finance software package is preferred. The University offers an excellent employment package, which includes generous annual leave of up to 24 days annual leave (after a
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Research or Psychology. You will have a detailed understanding and knowledge of statistical modelling and of software packages for carrying out statistical modelling, e.g., Stata, R, SAS, SPSS. Meticulous
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of power system dynamics, stability and grid-forming control. Proficiency with relevant software, such as MATLAB/Simulink, is essential. Experience with hardware in the loop (HIL) setups and tests is
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quantitative data analysis; be skilled in the use of data analytics tools e.g. R, Python; SPSS or other data analysis software; additional software such as STELLA or Vensim and GIS; have the ability to plan and
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experience in knitting using the Shima Seiki WholeGarment MACH2®M153XS and SDS-ONE APEX4 software. A track record in developing e-textiles is preferred but not essential. Candidates with industrial experience
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management software (e.g. EndNote) Experience of the following is useful: Statistical / modelling software, (STATA, R, winbugs) Health economic evaluation and decision modelling Evidence synthesis