14 python-"https:"-"CIPMM---Systemic-Neurophysiology"-"IFM" Master positions in Portugal
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- INESC TEC
- Instituto Politécnico de Bragança
- University of Porto
- University of Trás-os-Montes and Alto Douro
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
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- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
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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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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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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
is mandatory to formalize applications with the submission of the following documents: B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados
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programme Reference Number AE2026-0003 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0003
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requirements: Degree in Computer Science, Electrical Engineering, Geosciences, or a related field;* Programming skills (preferably Python); Proficiency in English; Candidate enrolled or eligible to enroll in a