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Field
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computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other
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towards improving controllers in turbulent flows. On any given day, you may be called on to: Own and execute novel machine-learning workflows related to wind conditions and control performance. Post-process
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approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based approaches to other aspects
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and conferences, and contribute to the preparation of manuscripts. Our research focuses on uncovering the proximate mechanisms underlying evolutionary changes in developmental and behavioural processes
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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working on related topics Participate in teaching and supervision activities, in line with the candidate's profile and interests The research activities will be hosted by the Parallel Computing and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
projects using massively parallel reporter assays (MPRA) to quantify the impacts of disease-related genetic variants. Finally, they will interact with nearby collaborators to plan and analyze functional
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website . Application procedure The application file contains: an American CV a carefully substantiated research or study proposal (personal statement) (including why study/conduct research in the US; what
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concerns, particularly due to its slow renewability and the ecological impacts associated with peatland degradation and greenhouse gas emissions. In parallel with broader efforts to identify more sustainable