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means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested
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using open-source data, assess the reliability, transparency, and applicability of these models, and validate them through applicable use-cases. Where to apply Website https://www.academictransfer.com/en
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modelling, CFD modelling or BIM modelling for built environment applications is preferred. Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred. Prior experience in
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with an engineer to deploy controlled experiments and collect well-being dimensions. Activities - Formal modeling of well-being - Implementation of enriched student simulator - Development of multi
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motor. Following the modeling phase, you will design, build, and debug the inverter PCBs. You will also be responsible for implementing the control software on a rapid prototyping platform. In addition
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capable of complex reconfigurable functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device
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research centre dedicated to understanding normal and pathological brain function and developing new diagnostic and therapeutic approaches. Website: https://neurosciences.univ-grenoble-alpes.fr You will be
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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Instructions to Applicants: This is a time-limited position. Time limited positions are based on circumstances, such as funding sources, which control the length of time for which the position is available
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teaching at various levels Experience in acquiring third party funding would be appreciated Very good command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de