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Efficient coding in touch: Exploring cortical feature tuning in the somatosensory system through the lens of efficient coding School of Psychology PhD Research Project Self Funded Dr Hannes Saal
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physics and you will compare theories to the latest cosmological data. A background in cosmology, field theory and some experience with coding is recommended. Funding Notes This project is for Self-funded
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neutrino physics—using a combination of CMB and large-scale structure data. The analysis will rely on modified Boltzmann codes (e.g. CAMB or CLASS) and Monte Carlo techniques for parameter inference
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reviews or oral examinations, ensuring these are compliant with the University’s regulations and standards. Advise on the application of the University’s Code of Practice for PGR degrees and other
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to the Phase-field research and growing knowledge by: (1) using already developed codes to assess pros and cons of Phase-field in interesting benchmark problems. The subroutines -already tested for Abaqus- will
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2035, the PhD student will build collaborations with other scientists working on this problem in the community. The project would suit a student with a blend of analytical and coding skills, who can push
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. Desirable Interview Experience in computational analysis/coding. Desirable Interview Further Information Grade 7 Salary £38,784 - £41,064 per annum Work arrangement Full-time (100% FTE) Duration Fixed term
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you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References References Harwood, N. (2005
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feed into a larger scientific endeavour. Good mathematical and communication skills are essential. In addition, the applicant should have good coding skills in Python or Mathematica, and/or the desire
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frameworks, and supporting project teams to prepare datasets, code, and evaluation protocols. The role offers variety and opportunities to shape national-scale open research infrastructure. You will be part of