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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal
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architectures of digital circuits, FPGA would be a plus - Knowledge in coding and compression of information, or signal processing - Experience with manipulation and customization of AI training flows
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, antibiotic resistance genes, VOCs and PFAs. Investigations on electrode materials, manufacturing processes, signal amplification and modulation are underway. We strive to strengthen environmental applications
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partners. Design analog and mixed-signal CMOS circuits for driving, sensing, and reading spintronic devices. Participate in the full IC design flow from architecture to schematic, layout, and verification
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procedure To be considered for this award, candidates should submit a complete PhD application by 21 February 2022 and indicate that they wish to be considered for this particular funding opportunity
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sources, uncertainty quantification analysis of time series data and dynamic processes, where signals and responses evolve over time. Work with a wide range of data types, for example dietary records
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a living-cost stipend at the UKRI rate. Students can apply to study part time or full time and should indicate this on their application form. Applicants wishing to be considered for the Global
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well as understanding of basic signal and image processing concepts is required. Selection will be based on qualifications, relevant experience, skills, and education. This position resides within the Multimodal Sensor
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collaboration and parts of the experimental work will be carried out at DESY, Hamburg . Applicants should indicate whether they are applying for a 3‑year PhD position, in which case a Master’s degree (or
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next