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requirements: First-class or upper second-class degree (or equivalent) in Chemical/Process/Electrochemical/Mechanical/Electrical Engineering, Chemistry, or Physics, or relevant industrial experience
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engineering, food engineering, mechanical engineering, or related discipline. Good team working, observational and communication skills are essential with the ability to work independently and as a member of a
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the National Physical Laboratory (NPL) and Waters-TA Instruments, this project will investigate key measurement techniques, such as thermal analysis, rheology, and mechanical testing, to characterise
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matrix mechanics, particularly in chemoresistance. Notably, the biological aspects of chemoresistance and drug efficacy screening will be the responsibility of the lab’s postdoctoral researcher, who will
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field, with a genuine interest in Wearable Technology, Sensor Development, Biomedical Devices, and Data
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parameters/mechanisms and model outcomes by varying the parameters simultaneously over a large range of values. Once the simulations are performed, the output variability can be apportioned onto the input