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driving epithelial dysfunction and disease-associated remodelling. In this role you will: Establish and optimize human iPSC-derived skin and hair follicle organoid systems. Design and perform CRISPR/Cas9
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cryo-electron tomography (cryo-ET). In this role you will: Develop and optimize workflows for isolation and enrichment of extracellular inflammasome assemblies across patient-derived samples and virus
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by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission
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. Responsibilities and qualifications Molecular thermodynamics plays a crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 16 days ago
position within a Research Infrastructure? No Offer Description Job Summary/offer: To optimally use the resources in veterinary care, it is important to capture, preprocess, and model the existing data
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) Experience working across the XR system stack, including lower-level components such as sensing, networking, systems optimization, or edge/cloud integration Experience incorporating machine learning
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conduct collaborative research between the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS, https://cosmos.uta.edu/ ) and the Department of Chemistry and Biochemistry (CHEM) on the topic
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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, reliable, and efficient power systems by leveraging advanced control and optimization approaches. I focus on real-time and cyber-physical co-simulation techniques to design and validate intelligent energy
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: Metallurgy, Process physics modelling, and Process development and control. Our main aim is to fundamentally study and improve our understanding of welding and welding-based additive manufacturing processes