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methods (statistics, ML, AI) with applications to energy and built environment problems and programming languages e.g. Python, R, Matlab, C# etc applied at highlighted scales. About you We welcome
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and device characterisation is essential. A PhD in silicon photonics is desirable. A proven track-record in leadership and managing a team and demonstrated experience in establishing a technology
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: Learning and implementation of project and commercial management tools and techniques. The successful AI engineer will have the following skills, experience and attributes: PhD or equivalent professional
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. Confidence using IT systems and standard software packages. The ability to work collaboratively with both technical teams and non-technical customers. A clear, approachable communication style and the ability
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enquiries relating to deliveries. Practical knowledge may have been gained through some or all of the following: work experience, Formal qualification(s) equivalent to Level 2 or 3 of the Regulated
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stakeholders and Procurement/Legal, shaping commercial deliverables and ensuring that software and systems contracts consistently deliver optimal value. Experience in managing software and systems contracts is
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, using your troubleshooting skills to see them through to resolution What you’ll bring A genuine interest in technology and how it works A logical, methodical approach to problem solving The ability
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: Substantial experience in a finance or accounting role Ability to interpret financial data and present it clearly and concisely Strong IT skills, including confidence with spreadsheets and financial software
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consistent approach to all of our products build a comprehensive knowledge base of user research and user-centred, evidence-based research methods and practice lead on user research activities, making
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proactively engaging with the research team to streamline existing methods and develop new ones Disseminate and present results to internal and external stakeholders Essential Skills & Experience: Substantial