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, design and perform straightforward experiments and routine laboratory analyses, design new processes or apparatus by adapting existing techniques and components to meet special circumstances or undertake
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scientists and technicians across the entire eDNA workflow, from field sampling to bioinformatics and software development. We are looking for applicants with a strong computational background and a passion
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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data processing, and embedded solutions that enable the SKA-Low Telescope to operate at unprecedented scale and speed. Within your role, you will contribute to the development, integration, and
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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collection, DNA preparation, long-read sequencing and development of bioinformatic analysis pipelines. Undertaking innovative research to identify resistance alleles and contribute to theoretical advancement
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: 101625 As the successful candidate, you will bring: Essential criteria Bachelor’s or Master’s degree (or equivalent experience) in bioinformatics, marine ecology, data engineering or a related field
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evaluation equipment, pens, sheep handler, cattle yards, weight scales etc; Collect, process and store biological samples from livestock using approved methods. Care and maintenance of experimental livestock
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collaboratively with others to deliver successful outcomes. Applicants with experience in biodiversity, ecology, bioinformatics, genomics, Rust programming, agile methodologies, or working with biodiversity and
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) Engineers System Administrators with experience with medium to large-scale clusters, storage, and/or Databases Data Processing Software Engineers with experience in parallel programming and Scientific