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predictive models of immune responses. Develop advanced and innovative machine learning methodologies and analyze data. The postdoctoral researcher will join the groups of T. Mora and A. Walczak, whose
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experimental protocol based on the Control of Variables Strategy (Chen & Klahr, 1999; Schwichow et al., 2016, 2020) to investigate the evaluation of information reliability. - Contribute to the development and
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project aims to develop digital polymers capable of storing binary information at the molecular level. To achieve this, we will synthesize sequence-controlled polymers using a multi-step solid-phase
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
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, the proteolytic mechanisms involved in dental pulp inflammation, particularly in various 2D/3D models. The postdoctoral researcher will produce bioactive protein fragments and characterise their roles in dental
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core mechanics (game design) Model the BDI (Beliefs, Desires, Intentions) agent system to be learned by the AI Program the game application specifically for mobile devices Evaluate the game's
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command of scientific communication in written and spoken English. In-depth knowledge of scientific writing and publication processes in peer-reviewed international journals. Knowledge of electrochemistry
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models
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the equipment, including the annual budget and the personal computer provided by the MARBEC laboratory for modelling and mapping work. - main mission: The researcher’s main role will be to model and integrate