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robust, reproducible genomic bioinformatics pipelines, using modern workflow systems and high‑performance computing platforms. Produce rigorous, high‑quality research outputs that advance applied genomic
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discipline. You will have demonstratable experience in field-based research, microbiology (field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil
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(field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil, particularly roots (i.e. rhizosphere collection and root traits). You will have a
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that strengthen our culture, enable high performance, and support the University to achieve its strategic ambitions. About you You will bring extensive experience leading large-scale complex change, organisational
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statistics. Software frameworks: Excellent programming skills in Python, R or similar, with experience in frameworks such as PyTorch, TensorFlow, JAX, etc. HPC & Big Data: Proficiency in high-performance
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centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
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Are you passionate about application development and driven to deliver high-quality and innovative solutions? If so, we’d love to hear from you We are seeking a skilled and motivated technical
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/j.actaastro.2023.07.047, and 10.1016/j.actaastro.2023.01.033). The research will make use of our identified methods to adjust Hall thruster designs for operation with alternative propellants, that we have
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help us create high-performance optical components that advance our research goals and commercial partnerships. Who We’re Looking For We seek a talented research fellow with skills and knowledge
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in other publications (doi: 10.1016/j.actaastro.2023.07.047, and 10.1016/j.actaastro.2023.01.033). The research will make use of our identified methods to adjust Hall thruster designs for operation