238 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions in United Kingdom
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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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involve performing numerical simulations to study magnetic fields in the cores and crusts of neutron stars, using and extending one or more existing codes, but also developing entirely new codes
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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in phonon calculations Experience of the VASP Code Experience of kinetic Monte Carlo Experience of Grain Boundary Modelling Experience of working with High-Performance Computing platforms Experience
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resulting from the PhD, develop research networks, facilitate knowledge transfer, and deliver outreach activities. Applicants should identify an appropriate academic member of staff, referred to as a ‘Project
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experience and explains how and why this makes you right for the role (1 page max.). The covering letter should include confirmation of your right to live and work in the UK*. If providing a share code, please
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and the Cancer in Primary Care Research Group within the Usher Institute the candidate will engage with a national and international network of cancer researchers – and nurtured to fulfil their academic
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stakeholders (beyond academia). Experience in membrane handling, CAD and temperature/humidity control is desirable while the ability to code in Python or other related programming languages will constitute a
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing