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landscape of Alzheimer's Disease-Modifying Therapies (DMTs). The research will examine multiple dimensions of system readiness through an interdisciplinary lens - from diagnostic pathways and workforce
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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biomass Development of downstream processing pathways Characterization of biomass using advanced analytics Write and publish high-level scientific publications These tasks will be conducted in a vibrant
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a multi-faceted approach to build nanoplatforms with multiple functionalities, benchmarking novel graphene-based technologies against existing nanoparticle-based detection, and allowing comparison
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desirable: electrochemistry, electrocatalysis, automation and data treatment, element analytics (Mass spectrometry, XPS, EDX) Intrinsic motivation to show initiative, creativity, and to work independently
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model to optimise sensor configurations (for multiple unit sensors) for a given application. The project will bring together Soft Matter, Biomedical Engineering and Data Science to generate a versatile
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sensory perception. Cilia dysfunctions result in rare human diseases known as ciliopathies that affects multiple organs leading to clinical manifestations such as blindness, deafness, obesity, mental
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, simulate and monitor skin wound evolution, with the ultimate aim to treat and even prevent chronic wounds. We will couple an in vitro analytical, omics-based platform to self-care wearables
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work