69 parallel-computing-numerical-methods positions at Nottingham Trent University in Uk
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development leading to the development of Lung disease and cancer. The discovery of numerous non-coding RNAs has dramatically changed our understanding of cell biology, and we aim to investigate their role in
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, business, management, data/computer science, or a related field. We especially encourage candidates with strong quantitative skills in R or Python, though proficiency in other tools such as SPSS, Stata
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within the rotation. The PhD programme will allow the applicant to experience a wide range of established and emerging techniques that underpin research in animal production and develop their practical
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design. We welcome applicants with professional experience in costume design, construction, or both particularly those applying industry-standard methods, digital tools, and sustainable, inclusive
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proliferation, differentiation and apoptosis that are modulated/deregulated during mammary gland development leading to the development of breast cancer. The discovery of numerous non-coding RNAs has dramatically
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) and will collect transcriptomic, proteomic, and functional data from primary patient samples (blood, cerebrospinal fluid and haemopoietic stem cells). They will leverage advanced computational biology
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. The successful applicant will be part of the Creative Practices, Methods and Analysis CPMA research cluster. More PhD opportunities are listed on the CPMA website: https://www.ntu.ac.uk/research/groups-and-centres
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Overview Overview and purpose Large language models, drawing on available data, have the potential to mimic human intelligence, to infer patterns and logical connections and to generate responses that are similar to how a person might respond. This means that AI can offer tailored and human-like...
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routing and scheduling: A review, Computers and Operations Research, 77, 86-95. Entry qualifications Entrants must have a Master’s degree in operational research, computer science, mathematics, operations
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will cause systemic issues). The advent of new datasets, increased access to more recent data with higher frequencies and particularly to cloud computing, has heralded the advent of a new breed or