168 computer-programmer-"https:"-"https:"-"https:" positions at King's College London
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, and identifying new opportunities to improve efficiency. A core responsibility is supporting the delivery of the University’s Carbon Management Plan. This involves maintaining and expanding a pipeline
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& Architecture Practice: Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, Software Engineering, Data Science, Information Systems or a related discipline, with experience applying
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, polarisation, coherence and material backgrounds. About the role We are seeking a highly motivated theoretical and computational researcher to join the ERC Consolidator Grant ATLANTIS (Advanced Techniques in
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regulations 5. Problem solving skills – pragmatic and flexible approach while maintaining policies and regulations 6. Strong computer skills - proficient with Microsoft Outlook, Microsoft Word
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procedures and the underpinning scientific theory applicable to the work area and the environment impact. Clear spoken and written communication skills, with proficient computer use and strong interpersonal
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experience in Ethics and/or Politics. The successful candidate will lead or direct their own original and independent programme of research at an international standard. This is a full time post (35 Hours per
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, Visa & International Student Advice and Visa Compliance teams, Global Mobility Office, programmes teams and student support staff in the department, faculty, Senior Tutors, Personal Tutors and teaching
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this role, we are looking for candidates to have the following skills and experience: Essential criteria Qualifications & Architecture Practice: Bachelor’s degree in Computer Science, Data Engineering
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statutory and organisational standards. Strategic Planning and management: Provide 5-year rolling integration strategic plan as part of asset Lifecycle and decarbonisation program. Provide strategic
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involving imaging to achieve the aims of various research programmes. In addition, the post holder will be expected to extract maximum value and capability from the imaging facilities, by developing and