313 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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UniversityCountryUnited KingdomGeofield Contact Website http://www.sdu.dk Postal Code STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone
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to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. E5. Proven commitment to supporting the career
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open data, open code, open educational resources, and practices that support replication. C7. Proven commitment to supporting the career development of colleagues and to other forms of collegiality
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transcriptomics (Iso-Seq, Nanopore); Contributions to open-source software projects or community genome resources; Experience mentoring or training others in bioinformatics methods, workflows, or best coding
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
apply Website https://genius-dn.eu/ Requirements Research FieldEngineering » Civil engineeringEducation LevelMaster Degree or equivalent Research FieldEngineering » Geological engineeringEducation
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-oriented Department is an essential skill for this role. About our Faculty Please find further information regarding the Faculty of Media, Arts and Humanities at: https://www.sussex.ac.uk/schools/media-arts
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Swansea in DTP2 Where to apply Website https://www.swansea.ac.uk/postgraduate/scholarships/research/computer-science-e… Requirements Research FieldComputer scienceEducation LevelUndergraduate Skills
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Assistants with excellent interviewing skills to support the current phase of data collection for a large ongoing longitudinal twin study. The Environmental Risk (E-Risk) Longitudinal Twin Study (see https
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experience/expertise in transfer learning for SHM data; preferably, kernel-based, neural network and Bayesian. Essential Interview Experience and track record in code writing for engineering problems in e.g
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line