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candidate to perform molecular dynamics simulations of different genetic variants of the sodium channel Nav1.1, which are associated with different forms of epileptic syndromes and migraine. The aim
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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progression. This project addresses the challenge of studying early tumorigenesis in pancreatic cancer by developing advanced in vitro models based on human extracellular matrix (ECM), aiming to recreate
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extensive magnetic and electrical characterization of 300mm fabricated devices, potentially with support of micromagnetic simulation. In this course, alternative materials and methods will be developed using
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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Wikibase instance Curate and model historical migration datasets within the dedicated Wikibase instance Contribute to the design of ontologies and metadata schemas for the knowledge graph Develop data-driven
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. In particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required
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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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implement innovative solutions to enable seamless operation in connected and autonomous mobility use cases. - Validate research outcomes through a combination of high-fidelity simulations and
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innovative research utilizing wet-lab techniques, 3D models, and extracellular vesicles to advance our understanding of drug resistance in melanoma. Your responsibilities: Conduct wet-lab research in melanoma