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staff position within a Research Infrastructure? No Offer Description TOPIC: Development of vascularized microfluidic in vitro skin models. PROFILE: biomedical physics, material science, biomedical
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
/theoretical study of the evolution of the growth rate distribution of E. Coli in a chemostat. The starting point is the standard chemostat model, which describes the time evolution of glucose level and the
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addition PDFs will be allocated a travel fund to support their work. Project title Next-Generation Models for Brain Cancer: 3D Bioprinted CNS-on-Chip Systems for Advancing Glioblastoma Drug Discovery
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values of Integrity, Excellence, Respect, and Creativity. This position is part of our Intelligent Cell Simulation System project, which focuses on developing artificial intelligence (AI)-driven models
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generative models for the creation of human movement datasets for training AI models; - Prepare activity reports and scientific articles. 4. REQUIRED PROFILE: Admission requirements: - Master's student, with a
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learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge
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protocols for data collection with motion capture systems and curation of the resulting data - Design generative models for the creation of human movement datasets for training AI models - Evaluate
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 8 days ago
of Honor regarding the benefited Research Fellowships, issued as defined in the model attached to the present public notice, in order to assess whether the candidate meets the necessary conditions to
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
environments. By leveraging real data collected from multiple Portuguese restaurants, the project develops advanced forecasting models and digital tools, such as digital twins, to monitor and optimize energy and
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these challenges. The Fellow will use predictive AI models that link photoresin formulation, printing conditions, and print fidelity, leveraging NRC’s extensive TVAM dataset. These insights will guide the design of