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for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine. Statistical and computational genomics across diverse
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models Applying imaging modalities to support drug distribution and efficacy studies Collaborating with national partners across a multidisciplinary research network This position offers a unique
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career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus corresponding to 25 per cent of the time each
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to transform millions of plug-in electric vehicles (EVs) into a vast, distributed network of mobile batteries that actively support the power grid to facilitate the deep integration of intermittent renewable
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Data Analysis Center that manages multi-omic data (e.g., Illumina/PacBio/ONT Whole Genome Sequencing (WGS), RNA-Seq). The ideal candidate will have a deep understanding of next-generation sequencing (NGS
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generalised framework for characterising time-resolved stellar spectral energy distributions, flare populations, and particle environments across a range of stellar masses and ages, with direct applicability
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Distribution: Education and Research : 65% of the Fellow’s effort will focus on teaching, developing new educational content, and working on research projects in the Tetlow and Roy Park Veterinary Innovation Lab
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for biosystematics (e.g., HTS data handling and analysis) and ecoinformatics (e.g., distribution modelling using R) • Field work in the tropics • Experience in chromosome cytology and/or morphometrics
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. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus
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appointment. If a 4th year is granted, one year of career-promoting work associated with teaching, dissemination or research infrastructure/services, will be distributed over the full employment period and thus