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computer vision applied to healthcare; developed within ongoing projects and other future projects in related areas, as well as the pursuit of new funded projects and support for laboratory management at CIR
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. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV.2. In the assessment of the candidate’s background and CV, scientific
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SCHEDULE OF FUNCTIONS FOR THE HIRING OF RESEARCH STAFF UNDER RESEARCH AND STRATEGIC LINES ESTIMATED TIME FOR THE EXECUTION OF FUNCTIONS:1 year Experimental research and technical implementation of WP3
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
15 Jul 2026 Job Information Organisation/Company Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial Department Human Resources Research Field Engineering » Computer
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> Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve
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PM. SCHEDULE OF FUNCTIONS FOR THE HIRING OF RESEARCH STAFF UNDER RESEARCH AND STRATEGIC LINES ESTIMATED TIME FOR THE EXECUTION OF FUNCTIONS: 2 years Experimental research and technical implementation
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. Government defensive missions. Our team provides technical guidance in capability and capacity development for Security Operations Centers (SOCs), National Cyber Centers, and Computer Security Incident
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explainability characteristics. Familiarity with the technical and human-factors sides of human–computer interaction. The ability to work independently, communicate clearly, and navigate open-ended research
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. Government defensive missions. Our team provides technical guidance in capability and capacity development for Security Operations Centers (SOCs), National Cyber Centers, and Computer Security Incident
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applicability. By bridging machine learning, behavioural science, and clinical research, the project seeks to establish foundational methods for trustworthy agentic AI systems that can be deployed across diverse