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? Apply now! Education PhD in a quantitative scientific discipline such as computational chemistry, chemical engineering, physics, materials science, applied mathematics, or a closely related field PhD
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Automotive Polymers from Carbon Dioxide School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Peter Styring Application Deadline: 23 January
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of solar cells Collaboration with the Solar Research Team Job Requirements: Possess Bachelor's or master’s degree in Physics or Material Science or Engineering. Experience in Perovskite materials and solar
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» Materials engineering Engineering » Chemical engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Poland Application Deadline 28 Jan 2026 - 23:59 (Europe/Warsaw
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Cadete Ferrão (ist12361) Organic Unit: Centre for Studies in Innovation, Technology and Development Policies Scholarship Theme: Modelling waste processing systems and sludge from water treatment plants
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-process-structure-property-performance chain; therefore, enable stability and control of novel manufacturing processes as well as achieving desired properties within materials science and engineering. Use
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-ceramic joining materials, with a focus on interactions during the joining process and under operating conditions Optimisation of experiments, measurement methods and measurement technology, including
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
. engineering related to process engineering or chemistry) Good knowledge of electrochemistry, materials science and/or process engineering systems is an advantage Knowledge of relevant programming languages
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. Successful candidates should have a strong background in chemistry, materials science/engineering, or a related discipline, with demonstrated experience in executing fundamental laboratory research with
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative