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and Professor of Practice Jouni Punkki. Job description Research activities will involve computational methods relying on physics-based continuum models to assess the mechanical, thermal, and acoustical
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infection and explore strategies to enhance mucosal immunity. Using a combination of in vivo animal models and ex vivo 3D cellular systems, we study airway-specific immune mechanisms that influence
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methods. Experience working with rodents as a model organism. Experience in learning and implementing experimental techniques that are new to a research group. Experience using engineering skills related
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, and engineered stem cells to produce vascularised, centimetre-scale pancreatic organoids. These will serve as models to test new therapies against diabetes and as regenerative grafts for transplantation
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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patients with hearing disorders. You will focus on creating automated segmentation methods for temporal bone structures, designing predictive models for treatment outcomes, and developing diagnostic tools
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reconstruction, 3D modelling software (Autodesk Revit, Dynamo), including open-source frameworks and algorithms for structural and M&E BIM reconstruction. 3. Experience in Python programming, machine learning
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XR simulations using the Unity platform or Unreal Engine, use of 3D model building tools, such as Autodesk Rivot or BIM tools and hardware experience in setting up XR headsets and custom play-areas
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, single-cell sequencing, preclinical modeling, and epigenetic profiling. In addition to designing and performing experiments, the fellow will be expected to coordinate collaborations and prepare manuscripts
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modification and DNA methylation) and 3D genome organization studies on the interplay between EBV infection and host interactions. Using in vitro B cell transformation model and 3D organoid to understand