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on the genome of all living beings. Our group is mostly computational, and we do both large-scale data analysis and development of methods, but it has also an important experimental component. We participate in
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. This includes the German Archaeal Centre at the University of Regensburg which offers excellent opportunities for large-scale cultivation of microorganisms. Integration into the Regensburg Center for Biochemistry
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simulation of technical systems Interest in practical work with catalysts, laboratory setups and pilot-scale plants Ability to analyse complex interrelationships and work methodically Good written and spoken
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troubleshoots level one user workstation hardware, software, and peripheral devices with supervision. Accurately identifies and escalates large-scale problems to the proper teams for resolution. Provides initial
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knowledge of large scale food production techniques as well as premium quality catered food preparation and food purchasing. Knowledge of computer system and their application to food services system helpful
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tools for the design and optimisation of large-scale wind turbine blades, helping to deliver new engineering methods into industrial practice. We are seeking a researcher with expertise in: Stochastic
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, detection, and related imaging tasks Design self-supervised or weakly supervised learning approaches for large-scale datasets • Position 2: Postdoctoral Researcher in EHR-based Prediction and Clinical Risk
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opportunity Hydrogen (H2) is widely recognised as a clean energy vector essential for decarbonising hard-to-abate sectors. Currently the large-scale deployment of hydrogen remains constrained by the limitations
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revolutionized our ability to obtain large scale RNA structure and RNA-RNA interactome information in the cell (Aw et al., 2016). This greatly expands our understanding of how RNAs are organized within the cell
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) Experience in running large-scale simulations on HPC systems with heterogeneous hardware, using CPUs/GPUs, and in analyzing complex, multi-modal data A generalist with an interest to solve challenges using a