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patients. The effects on gene transcription, protein expression, cell morphology, ECM composition, and functional readouts such as diffusion and angiogenesis will all be explored. The model will provide a
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Infrastructure? No Offer Description We are now looking to appoint a PhD student in Ionic Thermoelectrics and Electrochemistry for Thermal Energy Harvesting, placed at the Department of Science and Technology
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energy piles have been extensively studied, using field tests, physical modelling, and numerical modelling, the behaviour of energy piles under complex thermomechanical loading (e.g. vertical-horizontal
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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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biology, molecular biology and animal models to investigate how these hybrid cells favour carcinogenesis. Where to apply Website https://app.smartsheet.au/b/form/019eedeef91978fdbc2b67718479eac6?project_id
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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microphysiological systems, perfusion platforms, and advanced human in vitro models Cell culture and functional characterisation of bioprinted constructs Your profile Master’s degree (or equivalent) in biomedical
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We are now looking to appoint a PhD student in Mixed Ionic–Electronic Materials for Thermal Energy Harvesting, placed at the Department of Science and Technology, Campus Norrköping. Research area
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: Developing a system-theoretic framework that models learning as the feedback interconnection between continuous-time circuit dynamics and optimization algorithms. Designing novel energy-based learning
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics