155 postdoc-in-postdoc-in-automation-and-control positions at University of Sheffield
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that studies under your supervision are implemented in accordance with randomised controlled trial scientific principles, the study protocols and regulatory standards. You will have teaching and staff management
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melting methodology creates challenges due to limited in-situ thermal control that can generate unwanted thermal stresses in components, defects such as cracks and limited microstructural control. This PhD
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melting methodology creates challenges due to limited in-situ thermal control that can generate unwanted thermal stresses in components, defects such as cracks and limited microstructural control. This PhD
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these sunburn symptoms. PSI on the other hand has no such repair cycle and therefore the algae go to great lengths to protect it from damage. The key element of PSI photoprotection is ‘photosynthetic control’ a
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characteristics of the targeted communities. Polygeneration design methods, control optimisation and thermoeconomic evaluation may be used during the project. The research will benefit from our current academic
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technologies, including: Smart Shop-Floor Connectivity 5G Factory of the Future Big Data Artificial Intelligence (AI) Automation and Robotics for advanced manufacturing systems. Candidates should have strong
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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of stable fusion pores in adrenal chromaffin cells to facilitate peptide secretion. The aim of this project is to identify the signaling events and molecules controlling exocytosis which are regulated by GLP
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cause a harmful outcome instead. In this project, we will explore how the indirect basis of microbial interactions impacts their emergent ecology. Using a combination of ecological theory and controlled
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high tech industries. They are the basis of flexible solar panels and electronics, as well as biosensors for medical diagnostics. To automate the production of these membranes we need a real-time virtual