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classification algorithms including machine learning); and the output data and interpretability. The project “SORS in the community” is funded by the EPSRC (https://www.ukri.org/news/new-tools-aim-to-improve-early
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. You will have extensive knowledge of Python, including package development and experience of the academic research software development cycle, including deployment, maintenance and user support. You
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estimators • excellent programming skills, ideally in Python • enthusiasm to work collaboratively with an international team. Why work with us Lancaster is a research-intensive university. REF 2021 rated
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• Demonstrable experience developing deep learning models for time-series/sequential data (EEG, biosignals, audio, sensor data, or similar) • Strong Python skills with PyTorch or TensorFlow • Proven ability
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atmospheric science or a closely related discipline • experience in developing and applying atmospheric models • strong skills in programming and data analysis using R, Python or similar languages
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atmospheric science or a closely related discipline • experience in developing and applying atmospheric models • strong skills in programming and data analysis using R, Python or similar languages
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': https://wellcome.org/research-funding/funding-portfolio/funded-grants/control-without-closure-school-level-approaches The contact study aims to improve our understanding of how and where school pupils
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here: https://www.gov.uk/check-early-years-qualification ✔ Caring, reliable, and hard-working. ✔ Excellent communicators with great customer service skills. ✔ Team players with a flexible, positive
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the programme. Please see the curriculum online for more information: https://lancaster-online-education.ac.uk/masters/msc-cyber-security/ We are particularly looking for candidates who are passionate about
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, studentships and eligibility criteria, see the website: https://www.lancaster.ac.uk/stor-i/apply