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Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity
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Engineering, History, Geography, Technology Studies, or Policy) Experience with programming languages (e.g., Python or Matlab) or a willingness to learn is preferred Willingness to make occasional trips
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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radios is desirable, as is an interest in the security of Cyber-Physical Systems. A solid foundation in programming (C, C++ or Python) together with familiarity with operating systems and computer networks
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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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(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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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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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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, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a
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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