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Field
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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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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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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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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this program. Health insurance can be obtained through ORISE. Questions: Please visit our Program Website . After reading, if you have additional questions about the application process, please email
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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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methods to interrogate the functional role of specific lncRNAs in pluripotency, differentiation, and disease. This knowledge will lead to new potential opportunities in regulating these processes
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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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-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