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Field
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for analog and RF circuits toward energy-efficient AI-driven 6G transmitters. Your Role and Goals As a Doctoral Researcher, you will: Build hardware-aware behavioral models of analog and RF circuits in Python
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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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venues for AI/Machine Learning/Computer Science/Data Science/other related fields; >5 years of python programming experience; Experience with standard AI libraries; Prior proposal development experience
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researcher who holds a relevant PhD/DPhil with post-qualification research experience and a strong lead-author publication record. You will have excellent Python and research software engineering skills
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to annotated cell types Experience of working with non-model organisms, where reference resources are incomplete and annotation cannot be taken for granted Strong programming skills (e.g. R and/or Python) and
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the description and dissemination of results through the preparation of scientific papers and their presentation at scientific meetings. Where to apply Website https://sede.uvigo.gal/public/catalog-detail/28364578
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science, or a related field A solid understanding of remote sensing, ideally radar or microwave techniques; experience with GNSS or Earth observation data is a plus Good programming skills in Python, MATLAB or C
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system and the mechanisms of adaptation to dietary toxins in herbivorous woodrats including the role of the microbiome. Please visit our website for more information about our research and the lab: https
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wireless system. Analyse experimental measurements using MATLAB, Python or equivalent computational tools. Compare experimental measurements with modelling or theoretical predictions generated by the wider
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures