102 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship scholarships in Portugal
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experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific
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artistic creation within the context of climate change. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao-consolidada/-/lc/58216179/view?w
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; • Organization, systematization, and management of laboratory data. The candidate will also participate in the integration of experimental results with bioinformatics analyses and machine learning methodologies
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relevant areas (e.g., software engineering, cybersecurity, program analysis, machine learning), as evidenced by transcripts. Relevant professional or research experience in software security, static analysis
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(e.g., software engineering, cybersecurity, program analysis, machine learning). Relevant professional experience in software security, program analysis, or AI-driven code analysis. Scientific track
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of methodologies and the dissemination of the project. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao-consolidada/-/lc/58216179/view?w=2019-08
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
1801P.01158.1.04 and (1801P.01460.1.04) LARSYS/ISR BASE 2025-2029 - SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: To develop machine learning approaches to behavior analysis in
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of an academic degree or in a non-degree course, must be submitted by the time of contract signing. Apply online clicking on the “Apply Now” button in this form https://www.it.pt/Positions/OtherResearchPosition
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while protecting data privacy. Unlike traditional centralized machine learning, where data must be collected and stored in a central server, FL allows multiple parties to collaboratively build a global
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Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID promotes cooperation