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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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gestational age in Georgia.” The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and
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distributed as 25 % each year and will consist of teaching in relevant engineering subjects on bachelor level and other duties. The objective of the position is to complete research training to the level of a
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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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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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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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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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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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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