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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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supply chains. Understanding and experience collecting data and analysing (e.g., using statistical methods) agricultural and food economics data (e.g., production, processing, consumption), the interaction
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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless systems on software defined radio
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sensors and signal processing. B11 Experience in real-time graphics/game development. B12 Experience in delivering and publishing software libraries (e.g. track record of creating research-related open
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB
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for detecting and identifying specific signals of interest. Create reference datasets of spectrum usage for the wider community to use as benchmarks for evaluating spectrum sharing techniques. Emulate wireless
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academics, visiting fellows, and librarians. In this role you will be fully integrated into the RAI community. Application process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics
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-quality teaching. The Hub for Applied Bioinformatics (HAB) is the Faculty’s focal point for computational biology, delivering bespoke bioinformatics support and training across genomics, transcriptomics