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Field
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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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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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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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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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that do not confer an academic degree, in the area or area related to that requested in the tender. Preferential factors: Have demonstrable experience in the use of machine learning algorithms applied
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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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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
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or related field;* Solid knowledge in machine vision and deep learning (e.g., TensorFlow, PyTorch, OpenCV); Experience in Python programming (focus on libraries for data analysis and AI); Previous