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-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter model, which maps online observable process parameters (e.g. spinneret voltage, flow
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focus on developing new power electronics and control architectures to enable the operation of residential HVAC systems (heat pumps and heat recovery ventilation units) in droop-controlled DC microgrids
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quality models for multilayer membranes, and 2) no robust and scalable methods for model-based control of multilayer electrospinning. The task of the PhD student is constructing a scalable, multiparameter
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control tools (TEXTURISE project). The TEXTURISE main objectives are: - To identify the key factors (such as raw materials characteristics and processing conditions) influencing the structure building
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, powder-controlled Directed Energy Deposition process (DED-LB) for metallic Functionally Graded Materials (FGMs). This advanced additive manufacturing technique allows complete three-dimensional design
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GRaded Additive manufacturing through closed-loop Directed Energy Deposition process control (GRADΞD). Functionally Graded Additive Metals (FGAM) present unseen design and manufacturing opportunities
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Are you passionate about dynamical systems and system theory? Are you interested in making the design process of complex dynamical systems simpler by smart new tools for systems engineering? Are you
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3.5-year D.Phil. studentship Project: Efficient engineering and control of predictable and reliable biotechnologies. Supervisors: Prof Antonis Papachristodoulou and Prof Harrison Steel This project
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/or Computer Science. Any background and/or hands-on experience in mechanical design and control is an advantage. Selection process Please submit through the application tool (!) as a single PDF file
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Are you passionate about mathematical systems and control theory? Are you interested in working with next generation high-tech systems? The main challenge lies in the reliable operation of