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manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop novel sensing approaches to combine with machine learning algorithms to solve real-world
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for the programme related costs will be provided by EMPA. Applications are also welcomed from self-funded students. Further information and other funding options . Further Information: EMPA: www.empa.ch/web/s304
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to enhance their bystander effect. Breast cancer expressed HER2 will be used to develop proof-of-concept while other cancer cell-expressed targets will be explored to harness and optimise ADC technology for
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