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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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to their function in cell division and chromosome segregation. A variety of genetic, genomic, and epigenomics approaches and study systems are available in the group. The candidate will apply techniques including
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reading and writing skills; good at understanding and explaining concepts Knowledge of on electric vehicle fuel cell systems and CAN communication protocol. Possesses strong problem solving skills
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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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
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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 analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
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successful student in several highly desirable skills, both in the wet-lab and in genomics approaches. We are therefore seeking an enthusiastic graduate with an interest in advanced cell models and genomics