207 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of planning and progressing work activities within professional
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Cranfield, Bedford Website http://www.cranfield.ac.uk/ Street HR and Development Postal Code MK43 0AL STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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. Inputting all approved invoices using correct supplier and nominal codes, including expenses and credit card payments. Responsible for Council Tax payments, liaising with the Accommodation Team to follow up
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information, please have a look at https://microsunset.dtu.dk/ . To be eligible for a MICROSUNSET PhD-position, you must not have lived, studied, or worked in the host country for more than 12 months in
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, open code, open educational resources and practices that support replication. Desirable: F1 Experience of object-led research and teaching. F2 Experience of, or demonstrated potential for, research
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some experience of research project supervision. E10 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support
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, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also our award-winning work in Disability Inclusive Science
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1300 and 1900 CE”; https://www.synergy-plague.org/ ), working with Principal Investigator, Professor Philip Slavin (University of Stirling) and Leading Collaborator, Professor Samuel Cohn (University
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, design & analysis of experiments & drafting of papers. E10 Experience in undertaking independent research. E11 Commitment to open research, as appropriate to the discipline, through open data, open code
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship