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Microfluidics and lateral flow assay engineering Translational diagnostics and AMR-focused assay development Digital image analysis and Python-based data processing The project includes opportunities
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candidate would have experience with computational modelling and control of dynamical systems. Other useful skills include scientific programming (e.g., Python or Matlab), control system design, and
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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should
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others) compatible with epidemiology. Produce a digital twin for national suicide and self-harm rates. You will expand your data wrangling, analytical and programming skills on python and develop expertise
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samples. All computational methods and algorithms will be implemented as part of the python based MetaboLabPy platform (https://doi.org/10.3390/metabo15010048 , https://github.com/ludwigc/metabolabpy
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such as Matlab and/or Python. How to apply Please send an email with subject “PhD studentship: Numerical simulation of boiling flows for high heat flux fusion components” to Dr Mirco Magnini, mirco.magnini
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modelling of the atmosphere using python and FORTRAN, optimising momentum and flux balances using AI tools. This training will equip them for a career in atmospheric science.
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professional networks. Candidate’s profile Knowledge of quantum computing and an understanding of challenges of building large-scale systems Programming skills in Python A good Bachelor’s Hons degree (2.1
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profile We welcome applicants with backgrounds in computer science, applied mathematics, or engineering. Essential: strong Python, deep learning experience (PyTorch), and foundations in calculus/linear
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software