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to provide the supporting documents by the grant contracting stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. 4. Work Plan The work
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. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD
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analysing the influence of the main machining parameters on the dynamic behaviour of cutting, with the objective of identifying instability conditions and supporting process optimization. This work plan is
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vision based object detection tools, and reinforcement learning techniques. Additional Information Benefits Monthly Maintenance Allowance: €1,309.64 Funding Entity: Instituto Superior Técnico (IST
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value candidates with interest and/or experience in the following areas: a) Understanding of machine learning techniques, with interest in exploring algorithms such as regression, decision trees, Random
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to commence or continue a PhD in March or April 2026 • be a domestic student or have permanent residence Selection criteria To be eligible applicants must have: • Be degree qualified in relevant discipline
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Expressions of interest This prestigious Industry PhD project, offered through a collaboration between CSIRO, La Trobe University, and industry partner Rocket Punch Pvt Ltd, seeks to develop
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applications for one research grant (Master’s Degree), enrolled in PhD or courses that do not confer academic degree, within the framework of project with the reference FCUP - TMG, SA, financed by FCUP own
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Sciences, in the frame of the R&D project Soil O-Live - The Soil Biodiversity and Functionality of Mediterranean Olive Groves: A Holistic Analysis of the Influence of Land Management on Olive Oil Quality and
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holds a higher education degree obtained abroad, he/she must have the respective degree recognition, if applicable. - Enrollment in a PhD program or a non-degree course. - Oral and written fluency in