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days a week. For further details of the post and the application process, please read the further particulars. Informal enquiries are welcomed and should be directed to Dr Emanuele Osimo project lead at
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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD
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of the wearable, diagnostic device and signal processing aspects of several world-first multi-modal studies seeking to assess and quantify the effect of repetitive head impacts on short-term and long-term
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instrumentation package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior
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package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior to implantation, including
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contributions to work in climate change, disasters, smart cities, risk regulation, water, human migration and land surface processes related to for example agriculture, forests and landscape fire. We are also
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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and skills required are described in further detail in the job description. Application process For your online application, you will be required to upload your curriculum vitae and a supporting
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Biotechnol, doi:10.1038/s41587-024-02346-5 (2024). Takahashi, M. et al. Intratumoral antigen signaling traps CD8(+) T cells to confine exhaustion to the tumor site. Sci Immunol 9, eade2094, doi:10.1126
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experience in image data processing and analysis Familiarity with femtosecond/picosecond lasers and safe alignment practice. Clear, timely communicator who enjoys collaborating across physics, engineering and