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- Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology
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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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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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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
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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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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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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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recognition, if applicable). - Enrollment in a PhD program. Specific Requirements - Master's degree in Environment Engineering, or related areas (If the candidate holds a higher education degree obtained abroad
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 2 months ago
creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools for semantic search, interpretation
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regarded member of its Council, the scholarship supported postgraduate study – up to three years for a PhD or one year for a Master’s degree – with funding of up to $10,000 per year. Dr. Richards