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Field
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large PhD programme and co-ordinates three international Master programmes. The Department has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with
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evaluate large amounts of data using a computer Knowledge of programming Good communication skills (oral and written) in English Publication record in peer-reviewed journals The candidate must be able
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organizing the large bank of human aneurysm and artery specimens, interfacing with the collaborating clinical sites on the proper handling and transport of the specimens from the clinic to the Pitt laboratory
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information of subcellular structures and biomolecules. The PhD candidate will be employed at the Department of Precision and Microsystems Engineering (PME) and work in close collaboration with the Department
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alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
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will generate a wide range of contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models
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to use precision microfluidic control to discover high-resolution strucutral information of subcellular structures and biomolecules. The PhD candidate will be employed at the Department of Precision and
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running