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with reference number BI|2025/785 under the scope of the project Livranças Digitais2 (I3PR004035) - funded by INESC ID, is now available under the following conditions: OBJECTIVES | FUNCTIONS The goal
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breeder blankets – this has made them the object of international investigation despite experimental difficulties. Corrosion, volatilisation, high temperatures, and redox control are just a few of the
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mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective of the project is to further develop mass spectrometry-based techniques
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antimicrobial properties. Key objectives include: Design and synthesis of multifunctional antimicrobial coatings. Materials and physicochemical characterization of the fabricated coatings. Exploration of how
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about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as vision and touch—encoding knowledge from
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. Applicants will need to produce a research proposal of c. 3,000 words. This should specify a research objective, the nature of the historiographical contribution to be made, and the methodology to be employed
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an industry-collaborative research team. Key objectives of the research will include: Upgrade of an existing flow boiling rig to enable high-fidelity, high-resolution measurements under elevated pressure and
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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training programme provides a comprehensive itinerary, piloting a novel career-driven specialized track approach to prepare fellows for rewarding academic and extra-academic careers in biomedicine
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for photocatalytic degradation and H2 production.Designing multi-objective optimization algorithms to maximize environmental and economic performance. Your RoleAs a PhD researcher, you will: Build and validate hybrid