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risk assessment and informing next-generation regulatory frameworks to better protect human health and the environment from toxic substances. Specifically, the post holder will develop, implement, and
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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) has an exciting Postdoctoral Fellowship opportunity for two (2) qualified candidates. Fellowships within P-SHOR provide multidisciplinary, advanced training and prepare fellows for positions in academia
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hydrogen/methane blends in 15 MW boilers and prepare a report (thermal power and heat transfer analysis at large-scale); b) Collaborate with UBC technicians in acquiring data from our 15 MW boilers, analyze
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the Spatial Biology Facility, you will lead the development and optimisation of high-resolution spatial biology and multi-omics data analysis pipelines. Your primary focus (80% of your time) will be on leading
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-identify, co-develop, and undertake - under the supervision of Prof. Martyn Pickersgill - thematic case-studies or research strands pertaining to the “Between deception and dissent project”, according
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helping ensure that our research reflects real-world user perspectives. Collaborating with the project team and contributing to the development of operational protocols and communication systems for drone
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their main contacts will be Prof. Daniel Doherty and Prof. Gavin Lotay. Interviews will be held on Monday 22nd of September. Surrey provides a range of training and development opportunities for its staff
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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development in Neurodevelopmental disorders associated with altered chromatin regulation. The candidate will participate in multiple NIH-funded projects that explore disease mechanisms in rodent and human