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the complexation process. In parallel, these systems will be evaluated as organocatalysts, with the ultimate goal of achieving highly enantioselective transformations. Candidates should hold a PhD in chemistry and
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sequences, networks, trajectories, images, etc. - Design, programming, optimization, and parallelization of machine learning algorithms. - Search in repositories and bioinformatics of DNA sequences
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into agent-based models. Familiarity with parallel computing and cloud-based simulation environments. Knowledge of specific domains such as epidemiology or social sciences. Familiarity with web-scraping and
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and exposed surface also plays an important part for optimising microstructure hydrogen interaction. In parallel, the main draw-back of using Zinc is the nature of the corrosion reaction when exposed
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Jackson and other colleagues at the Edinburgh Parallel Computing Centre. Your work would combine software and technique development which a focus on the processing of voluminous point cloud datasets (> 100
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parallel programming. ● Experience with writing scientific articles. ● Experience with writing scientific machine learning. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted
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circuits regulating discrete targets in the periphery, including stereotaxic injections, viral tracing, chemogenetics and fiber photometry. In parallel, this project also involves the analysis
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research project developing novel chemical probes and degraders to dissect mechanisms of adverse effects in cancer and metabolism. For a summary of the latter see: p3.snf database ii) In parallel we
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-doctoral candidate. • Experience with machine learning techniques and their integration into agent-based models. • Familiarity with parallel computing and cloud-based simulation environments. • Knowledge
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Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge