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/interventions, and clinical diagnoses. The post would be suitable for applicants with general interests in AI, machine learning, large language models, foundation models, signal processing, computational
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epilepsies. They use a range of advanced genomic techniques including single-cell and spatial multiomic evaluation of epilepsy surgical tissue as well as iPSC-derived neural cultures and mouse models
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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or early bystander adaptations to a disturbed lung microenvironment? Disease Modeling and Biomarkers: Can we develop relevant complex in vitro models to study lymphatic dysfunction, and generate biomarkers
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(TBI). The research will use in vitro techniques and in vivo mouse surgery models. A solid wet bench experience is required. Qualifications: 1). Recent PhD or equivalent degree in neuroscience, molecular
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of the finite element method (modelling assumptions, boundary conditions, mesh/element choices, convergence checks). Experience with at least one FE tool such as Abaqus or similar. Scientific programming skills
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systems and accelerate the discovery of innovative therapies: AI-supported Mechanistic Modelling and Simulationfor Infection Research.Computational Network Sciences and AI for Biology and Health. We offer
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? We are seeking a highly motivated
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focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify early-warning signals and tipping points
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model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed direction of the PhD studies will be discussed and decided jointly with