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C644914747-0000023 funded by funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 20-Feb to 06-Mar-2026 WHO WE
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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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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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Number AE2026-0029 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0029.pdf CALL FOR GRANT
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, Sierra Leone, Solomon Islands, South Africa, Sri Lanka, St Helena, St Lucia, St Vincent and the Grenadines, Tanzania, The Gambia, Tonga, Tuvalu, Uganda, Vanuatu, Zambia Candidates must be applying
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, used in condensed matter systems and string theory. Studying the various ways of materialising these models will make it possible to predict the trajectories of the ST in the Anthropocene and to design
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pipelines for data analysis, programming in C++ and Python, Intelligence Artificial. Proficiency in English (written and oral communication) will also be valued. 3. Work Plan: This work plan includes
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Sustainable Tourism Destination”, hereinafter referred to simply as “COIMBRA ST LLM”, with the operation code EUI02-188, from the Polytechnic Institute of Coimbra (IPC), financed by the European Union through
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
oral communication skills # Motivation to engage in scientific research and method development # Programming skills in Python and/or C/C++ # Experience with scientific software tools and numerical