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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 30 days ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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at: https://www.math.aau.dk/english. Stipend 2 will be located at the Department of Health Science and Technology, that conducts research that spans biomedical sciences, clinical research, biostatistics
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analysis and process modeling tools and techniques. Experience building data integration solutions that leverage restful API's or message-based technology. Modes of Work Positions that are eligible
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of modelling and decision-support frameworks relevant to engineering and infrastructure systems. You should possess a good honours degree and a PhD (or equivalent professional experience) in Mechanical
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that directly improve quality, throughput, and process stability. You will build, test and deploy data-driven (AI) models for the control of the robotic manufacturing process based on actionable insights
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to: Develop mechanistic and data-driven models to analyse concentration–response relationships and biological readouts from advanced in vitro assays Apply statistical and computational methods to quantify
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and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open
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20 Mar 2026 Job Information Organisation/Company Riga Technical University Research Field Engineering » Electrical engineering Researcher Profile Leading Researcher (R4) Positions Other Positions
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-driven leader with a proven background working in Advancement technology and complex CRMs to support the business needs of a growing Advancement department. Reporting to the Assistant VP of Advancement
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the production of spatially granular and engineering driven representations of model results. Experience working across disciplines in multi-institution and multi-stakeholder collaborations is desirable