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, physics of fluids, flow control... The main objective is to develop numerical tools to efficiently predict and to deeply understand flows in more and more physically and geometrically complex configurations
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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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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developing simulation flows, analysis methodologies, and predictive models that enable Design-Technology and System-Technology Co-Optimization (DTCO/STCO) studies for future systems. You will work closely with
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work closely with an interdisciplinary team spanning microbiology, engineering, and computation, and will contribute to developing predictive models that link bacterial physiology to infection outcome
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proteomics Bioinformatic data integration and development of predictive biomarker models Clinical validation of findings using patient cohorts from both institutions Regular scientific exchange and
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Computer science » Other Engineering » Control engineering Engineering » Systems engineering Engineering » Other Mathematics » Applied mathematics Medical sciences » Other Researcher Profile Recognised Researcher
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research teams, and participate in the center's core technology initiatives. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
and verbal communication skills; Ability to work effectively in multidisciplinary environments and as part of a team; Scientific rigour and autonomy; Excellent command of English, both spoken and
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products. At NTNU, a central part of the project is the development of more predictable and efficient methods for the refactoring and heterologous expression of biosynthetic gene clusters (BGCs