61 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" PhD positions in United Kingdom
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. A masters degree in a neuroscience related discipline, experience with coding (e.g. Matlab, Python, R etc) and conducting human neuroscience experiments and analyses are desirable. If your first
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-funding/?code=GPSJUS26 Contact details If you are interested in applying, please contact Prof. Derek Bell (derek.bell@ncl.ac.uk ) or Prof. Danny MacKinnon (danny.mackinnon@ncl.ac.uk ) for an informal
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biomechanical technologies to analyse movement. Experience and competence in software to code and analysis data. The ability to undertake quantitative research. Strong interpersonal, communication and
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F select ‘Electrical and Electronic Engineering PhD (full time)' as
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packages Experience of coding How to apply Interested applicants should contact Dr Amy Harwood for an informal discussion. To apply you will need to complete the online application form for a full time PhD
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experience. Desirable Attributes Experience working with quantitative and textual data, writing computer code, and/or using existing Digital Humanities tools. The successful candidate will be supported to fill
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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., Mumax3, Vampire, etc.) • Open-source ab initio codes (e.g., KKR, VASP, Quantum-Espresso, etc.) • Coding languages (e.g., Fortran, C/C++, Python, etc.) • Previous lab experience, especially in scattering
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for the ‘Course Title’ using the programme code: 8040F · Research Area: Civil Engineering · select ‘PhD Civil Engineering (full time) - Civil Engineering' as the programme of study. You will then need
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will