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of the following activities: Activity 1: Assessment of the direct effects of the biological control agent Trichilogaster acaciaelongifoliae Assess the establishment of the biological control agent along
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systems, agentic AI, and passive device modelling. As a Research Fellow in AI/ML, you will be embedded in a diverse, multidisciplinary team and will play a key role in advancing research into large language
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using ML, network-based and agent-based models Integration of histological, clinical and transcriptomic data for precision oncology Translational and innovation-oriented projects linked to clinical
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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for high resolution imaging, developing computational models of islet blood flow changes; characterizing and applying novel ultrasound contrast agents including molecular targeted agents; and use of contrast
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conversational agents in Portuguese, European variant, and it is essential that the candidate is able to evaluate their performance - information to be provided in the CV. Additional optional skills and
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agents in Portuguese, European variant, and it is essential that the candidate is able to evaluate their performance - information to be provided in the CV. Additional optional skills and qualifications
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
and advanced materials to deliver biofilm-disrupting agents directly to the wound site in a controlled manner. Nanomaterials development: Preparation of magnetic nanoparticles linked to biofilm
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and fermented fractions; (ii) development and optimization of oleogel formulations using insect-derived oils combined with suitable structuring agents and antioxidants; (iii) evaluation of the stability
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. Mitochondrial populations in cells form “social networks”, meeting and exchanging biomolecules in a cellular society – an example of emergent behaviour from agents in a confined physical environment. We have