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therapeutics deployed to treat advanced prostate cancer including treatments that exploit androgen receptor signaling, DNA repair deficiency and immune-based agents. This position will focus on delineating
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, coordinating cell-based assays and labeling strategies, and contributing to automation and AI-driven imaging and modeling workflows. The role involves close collaboration with computational and engineering
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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation
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its role as Design and Procurement Agent, under the programme management of the European Commission (EC). Version 3 of the system is currently under procurement under Phase CD. The Division is also
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supervision of PI Calina Copos and will engage in collaborative work with cell and developmental biologists. Expertise in agent-based models, continuum PDE descriptions, dynamical systems, and/or ML-based
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systems analysis and modeling: Leverage complexity theory principles and tools such as system dynamics, agent-based modeling, and network analysis to modeling to electricity grids, digitalized energy
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intelligent robotic behavior across diverse environments. The position involves developing and testing embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and
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) and their relationships with neighboring tissues in pathophysiological conditions. We utilize in vivo mouse genetics, live imaging, 3D organoids, genome-wide Cas9/Crispr based functional genetic
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highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent
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of Coimbra, with the ambition of developing innovative platforms incorporating therapeutic agents (e.g., nucleic acids, small molecules, peptides), involving mRNA for gene therapy. In the context