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business datasets (e.g. ORBIS, Foreign Direct investment Data - UNCTAD) and appropriate experience with statistical software (e.g. Stata, R, Python). They will have a good understanding of, and interest in
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, linguistics, or data science, with experience coding in R or Python, natural language processing, and experimental design. Application Process To be considered for these PhD studentships, please complete
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. This PhD will suit candidates with backgrounds in psychology, cognitive science, linguistics, or data science, with experience coding in R or Python, natural language processing, and experimental design
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languages such as Python, and experience of Artificial Intelligence and machine learning. They will also be familiar with working with real world data and analysing data based on large and diverse datasets
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assistantship. The ideal candidate will have a strong understanding of NLP, machine learning, and AI ethics, with proven skills in Python and frameworks like TensorFlow or PyTorch. Preference may be given
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programming skills (in Python, R or similar) and experience with large-scale data analysis using bioinformatic tools and pipelines to analyse and interpret biological data Attributes and Behaviour • Be
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the development of good programming skills (Python/MATLAB or similar), good communication skills, the ability to work independently, and a willingness to engage with industrial partners. To apply, please contact
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strategies. Proficiency in statistical programming languages (R, Python, or Stata) with verifiable experience in panel data analysis. Good communication abilities for effective knowledge dissemination
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this role, we are looking for candidates to have the following skills and experience: Essential criteria A working level knowledge of R and/or Python Some experience in independently designing a research
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with programming (Python, MATLAB), background in aerospace, computer science, robotics, or electrical engineering graduates, hands on skills in implementation of fusion/learning based techniques in