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of methane at high concentrations both from gas-fed bioreactors and through modification of conventional anaerobic digestion processes. The research is intended to assess the optimum conditions and the
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observation-constrained reduced-order models to reproduce ESM simulations. You will first analyse state-of-the-art Earth System Model (ESM) simulations and diagnose underlying processes for inter-model
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bioinformatics pipelines (e.g., using Snakemake or Nextflow), experience with HPC environments, knowledge of machine learning, and an interest in large language models (LLMs) would be highly advantageous. Terms
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interest in large language models (LLMs) would be highly advantageous. Terms of Appointment This position is full-time, fixed-term for a period of 2 years (in the first instance as CTU core funding is on a 5
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, German Research Foundation. The selected candidate would conduct research at the interface of theory and application. The project seeks to develop mathematical models for allocation of critical resources
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to be able to work independently and efficiently in a research context, and will have excellent written English skills with meticulous attention to detail. We are open to flexible working patterns and to
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, quantitative and qualitative research methods, and experience of successful ethical approval processes. Experience recruiting and conducting research with diverse communities and commissioning groups would be
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into the real world. A strong background in the fibre optics, advanced characterization techniques, and optical signal processing is highly desirable, along with an aptitude for developing new experimental
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, testing its capabilities, running experiments and formulating protocols for its optimum use in various operating conditions. The aim is to establish structure-property relationships between different nano
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and optimise the operation and design of aircraft systems, subject to complex, real-world constraints. You will join a growing team of engineers working on a range of digital design technologies