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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 11 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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of Public Health and Primary Care. The post-holder will contribute to the development and application of a simulation model exploring optimal approaches for iron supplementation in blood donors in England
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Expansion: Implementing the next phase of the project to transition from rigid-body models to sophisticated systems for protein ensemble modeling. Computational Optimization: Resolving hardware-specific
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, assembly, adaptation, operation, and optimization of plasma systems and reactors; on the processing of liquid materials and precursor suspensions; on the treatment and processing of materials by thermal
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week/ 50 %), initially limited to two years with possibility of continued employment. The successful candidate will be involved in operating, maintaining, and optimizing high-end imaging and spatial
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differentiation of brain, gut, and placenta organoids, as well as optimizing robust protocols that form the experimental foundation of the laboratory's research program. Who are you? To be employed as a
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and
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with team members to ensure completion of deliverables. Lead the design, construction, and optimization of synthetic biological systems and enzyme engineering workflows. Execute advanced molecular
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and optimizing growth media, ideally in combination with molecular methods such as 16S amplicon sequencing or draft genome sequence analysis, is highly desirable. Project title: Gut microbiome and
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such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher