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pioneered a new method to make fluidic devices using magnetic levitation, where any diamagnetic liquid is confined by a surrounding magnetic liquid. and organometallic chemistry, they will use cell cultures
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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the opportunity to become an expert in both thin films and electrochemistry – fields that are key to numerous crucial technologies and sustainability. Depending on the task at hand, you will work
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and apply cutting-edge single-cell and spatial multi-omic approaches that link molecular signatures to cancer cell vulnerabilities. Working at the interface of molecular, chemical and optical method
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Forest Inventory is looking for a PhD candidate to develop cutting-edge multimodal artificial intelligence methods for forest biodiversity mapping and monitoring. The project will investigate how
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, using qualitative research, consensus methods and quantitative validation in an international cohort. Risk and resilience: identifying factors associated with parental distress, coping and resilience
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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technologies to enable efficient, reliable, and intelligent communication between human operators and multiple robotic systems. Furthermore, the developed methods will be translated from theory to practice
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, mechatronics, robotics, or applied physics Additive manufacturing / 3D printing and experimental mechanics Numerical modelling (FEA) and/or programming (Python/Matlab) Experience with 4D printing or SMPs is
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural