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(e.g. Python, MATLAB, R or similar) Ability to develop and apply models of complex systems, simulation and stochastic modelling, optimisation under constraints Desirable skills and training in one
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integration models As a PhD researcher, you will: Support MRI and EEG data acquisition and optimise processing pipelines Manage, curate and integrate multimodal datasets (MRI, EEG, wearable sensors) Develop and
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approaches for monitoring, decision support and optimisation of resource-efficient crop production in greenhouses, indoor farms and other controlled environment systems. Research activities of the group focus
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both rigorous mathematical arguments and numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work
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of lightweight and long-span earth retaining and stabilising structures iv. AI-enabled structural analysis, optimisation and design tools for high-efficiency, low-carbon composite building systems Plan and conduct
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point defects in diamond for the characterisation of magnetic structures. The setups in the Nieder group are custom-built and the candidate will be involved in their optimisation. This will require device
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Reference Number AE2026-0117 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0117.pdf JOB
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-frequency measurements Installation, optimisation and maintenance of monitoring equipment (this will include optimising logger programs, power management and developing calibration routines; use
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are developed enabling a virtual assessment and optimisation of steel microstructures before they are produced. This programme is therefore essential for the future hydrogen economy. Thermal interfaces
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optimising optical systems, cavities, interferometers and free-space beam paths. Perform routine optical measurements and diagnostic tests to monitor system performance and identify potential issues