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Field
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, overcoming the tough fungal cell wall. You’ll also design robust workflows for targeted long-read sequencing of clinical and environmental samples, enabling accurate identification and resistance genotyping
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intensive training in energy modelling, AI-accelerated optimisation, and lifecycle-aware computing. Whether working on smart mobility, sensor nodes, or autonomous platforms, you’ll be contributing to a new
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of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation
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SpeedGoat. Development of real-time digital twin (physical or Artificial Intelligent based) of electric propulsion system including propulsion motors, power converters, fuel cell and batteries etc within
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the joints and promoting neuromuscular stimulation through controlled perturbation. This gait retraining aims to reduce pain, improve mobility, and enhance overall function by addressing underlying
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through health, retail, mobility, energy and communications. This exciting PhD programme will first use qualitative methods to investigate how the public access and use OTC medications for a range of common
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produced off-site in parts and later assembled on-site. This project aims to advance 3DP technology by incorporating mobility and autonomy, thereby scaling up the effective workspace to match arbitrary
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related field, and will have experience with cell-free protein expression systems, protein engineering, high throughput screening and lab automation. Extensive experience with recombinant protein expression
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the way for novel QD based solar cell and related optoelectronic technologies. Drawing inspiration from high-entropy alloys, the approach involves blending five or more distinct QD populations of differing
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of influence: The Ries lab is developing super-resolution microscopy methods for structural cell biology and is looking for a PhD student to join the team. About the Max Perutz Labs: The successful applicant