170 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Cardiff University in United Kingdom
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Advert Research Assistant in domestic thermal demand modelling Cardiff School of Engineering The Centre for Integrated Renewable Energy Generation and Supply (CIREGS), one of the research groups
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Sciences. The University’s ambition is to rank consistently among the top 100 universities in the world. Cardiff is also developing its Innovation System through a focused programme of investment in people
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. • Establish productive relationships with key contacts to help improve service levels, developing appropriate communication links with the University’s Schools/Directorates as required. • Undertake a variety
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experience in relevant techniques, laboratory housekeeping and maintaining records under the Human Tissue Act. For further information candidates should contact Professor Matthias Eberl (eberlm@cardiff.ac.uk
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and peer to peer support. Specific Duties To respond promptly and accurately to requests for information and assistance from admissions tutors and support staff based in academic schools and from
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will be based at the Heath park campus. About the Project The successful applicant will lead experimental work and data analysis within a three year research programme focused on: • Characterising
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Cardiff University is seeking an Administrative Officer to help us deliver the objectives of the EPSRC funded Centre for Doctoral Training (CDT). Led by Cardiff University, this CDT is an alliance of four
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diseases - High Performance Computing - Big data manipulation and analyses - Machine Learning Knowledge of current status of research in biostatistics, bioinformatics, machine learning and
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computer and IT skills, Kinetics, Oracle, Microsoft Word, Excel, emails, including use of internet and online calendar. Level 3 Food Safety and Level 2 Health and Safety. Desirable CriteriaExperience
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an emphasis in one of the following areas: 1. Data science and Artificial Intelligence 2. High Performance Computing Dev Ops - infrastructure-as-code and automation 3. Scientific software engineering – e.g