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Resilience (three posts) (Ref. 250604003) The Department of Building Environment and Energy Engineering (BEEE) contributes to PolyU’s world ranking of 17th for Architecture and Built Environment as
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genetics in the grasses, especially in the model systems Zea mays (maize) or Brachypodium distachyon. We particularly welcome candidates with expertise in grass transformation and/or spatial transcriptomics
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/emissions modelling preferred but not required Creative problem-solving skills and ability to work independently *Candidates with a PhD in other disciplines may be eligible if they can demonstrate exceptional
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experience. Proven technical competence in experimental science and data analysis/modelling. Strong practical understanding in at least one of the following: medical device manufacturing, sustainable materials
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perfusion as people age with various comorbidities (hypertension, hypotension, obesity) will preserve oxygen supply to the brain. MRI and two photon imaging are used in animal models to understand
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and stem cell biology. The study investigates how APOE4 expression in endothelial cells affects oligodendrocyte progenitor cells (OPCs), using iPSC-derived 3D co-culture models. This work aims to
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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the next generation of biopolymer that are naturally and sustainably sourced and with excellent post-use biodegradability profiles. The project goals will include (but necessarily limited to): Discovery
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new
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models with a practical experimental platform. FTE: 1 (35 hours/week) Term: Fixed (18 months) The Centre for Ultrasonic Engineering (CUE) group of the Institute for Sensors, Signals and Communications