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clinical and non‑clinical populations, led by Dr Hélio Clemente José Cuve . You will be involved in the day‑to‑day implementation of research activities such as participant recruitment, experiment coding
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is that easy to apply: Scientific curriculum vitae, including links to scholarly profile and code repositories List of publications and presentations Motivation letter, which briefly outlines your
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reproducible code and results. A clear, concise communicator, you thrive in multidisciplinary teams, mentor junior scientists and manage projects autonomously while remaining open to constructive scepticism and
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, experiment coding, data collection, developing data-driven processing and analysis pipelines, and write-up of findings for publication. You will also be involved in supporting the supervision and training
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genome assembly, gene and transposon annotation, phylogenomics. Candidates must demonstrate proficiency in coding and analyses through open-access repositories (github or zenodo). This project will expand
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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, with solid knowledge of computational coding applied to genomics. Significant research laboratory experience in genomic and transcriptomic computational data analysis is essential, as well as experience
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and
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practice of Open Science principles (e.g. data sharing, code sharing, public engagement and awareness). Self-motivated, proactive, and takes initiative to problem-solve Understanding of anxiety and