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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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postholder will be based at the ATU Donegal, Letterkenny Campus. Essential Qualifications Minimum PhD in Artificial Intelligence, Data Science, Computer Science, or a related discipline, OR Honours Bachelor’s
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. Please note: The postholder will be based at the ATU Donegal, Letterkenny Campus. Essential Qualifications Minimum PhD in Artificial Intelligence, Data Science, Computer Science, or a related discipline
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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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machine learning. This particular thematic area will be supervised by Associate Professor Agni Orfanoudaki. You will be responsible for planning and managing your own research programme within
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Disease Research Programme. This role focuses on advancing early diagnosis and risk stratification in individuals with inherited cardiac conditions through cutting-edge imaging research. The successful
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in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
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programme of our growing team, on the post-transcriptional processes that control the assembly of cortical circuits in the mammalian brain. The post will involve working with transgenic mouse models
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Associate once the PhD has been awarded. The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and