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Field
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1 and 2 and NQCC Testbed programme, will tailor the developed benchmarking approaches to error-corrected as well as distributed quantum computers, addressing the need for scalable benchmarks
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applicants embarking on a brand-new LSBU research programme—current PhD students and LSBU staff members are not eligible for this award. Why choose LSBU for your doctoral journey? LSBU is a dynamic, applied
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or international equivalent, in Statistics, Mathematics or a related subject with a strong statistical component A relevant Master’s degree is advantageous. Applicants whose first language is not English require
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datasets are advantageous. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. Successful international candidates will be required
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stipend for 2024-25 is £19,237) A research training support grant Opportunities to apply for additional funding towards overseas fieldwork, difficult language training, overseas institutional visits, and
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learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose mother tongue is not English must meet any one or a combination of the following: A
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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research and teaching in some subdivisions of his/her field; (d) be able to demonstrate effective classroom teaching skills; and (e) be highly proficient in written and spoken English. Conditions of
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the solidarity and cooperation within and between democratic countries. There have been concerns about the use of Generative AI and Large Language Models (LLMs) as tools for the dissemination of disinformation and
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and administration. Your profile: Completed Master's / Diploma degree in the field of Astrophysics Extensive programming knowledge (Python) Excellent command of written and spoken English (C1 level