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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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knowledge in building ventilation systems, heat transfer, fluid dynamics, machine learning, data analysis, and coding e.g., Python. Understand sensors, actuators, data acquisition, and control systems
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project deadlines effectively Ability to work independently and demonstrate initiative in formulating and executing own research projects Contact information For further information, please contact
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be responsible for testing and refining of the apps with volunteers, including people with psychotic disorders. They will also be responsible for data analysis under supervision and other academic
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QTLomics as part of the project. Main responsibilities Collect and standardise functional information, including QTL data, RNA-seq, and Gene Ontology (GO) annotations Develop computational pipelines for QTL