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Field
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mathematical and computational models of transport processes, and in identifying model validation protocols using published data and novel experiments. Software development in C++ and/or Python is expected
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in live-cell or live-tissue imaging. Experience of quantitative image analysis and analysing biological datasets using computational tools such as Fiji, Python, MATLAB or similar. The ability to think
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skills e.g. PowerShell, Python, Bash, or other scripting languages Desirable Application/Interview Ability to document and review processes and procedures, sharing good practice with colleagues and peers
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interview Ability to make decisions on the day-to-day use of complex technology. Essential Application and interview Software development and script-based programming (e.g. Python, Javascript, Java) Essential
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at: http://dimadamen.github.io/ Prior expertise in audio-visual perception and deep learning methods with a strong publication track record is expected, including first-author publications in CVPR/ICCV/ECCV
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are also highly valued. Optional Python skills can be beneficial for data science, machine learning, or automation tasks. Familiarity or being comfortable with Linux would be very welcomed. Interest in other
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python is beneficial. The Project: This role is part of an ongoing funded UK Research and Innovation funded programme, which aims to understand if the needs of the UK’s building stock can be met with zero
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responsible building practices. For more information please visit: https://www.lime-green.co.uk/ The successful candidate will have full access to Birmingham City University’s resources such as offices, labs
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: 33 days annual leave, plus 9 buildings closed days for all full time staff. Purpose of Role The Laboratory of Ultrafast Physics and Optics (LUPO, https://lupo-lab.com) seeks a talented and motivated
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algorithms and simulation models using Python, MATLAB, Julia, or other suitable tools. Analysing simulation and project data, and validating the developed methods through practical case studies. Preparing