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. Preference will be given to those with experience in health service and/or digital health research. They should also have an excellent command of spoken and written English and Chinese (including Cantonese
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to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters. Within the ERC-funded multiCODE project, we aim
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of cellular reprogramming by introducing scalable computational methods that streamline the discovery of reprogramming targets and control strategies. A key innovation of EdgeCR is its fine-grained control
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professional references Special Schedule Requirements EEOC Statement Export Control Statement Qualifications Education & Experience PhD in materials Science, Mechanical Engineering and experience in Metal AM
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spectrometry imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large datasets to provide biological
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demonstrate a strong sense of responsibility and have a good command of written and spoken English. The ideal applicant is self-motivated, detail-oriented, and capable of managing multiple tasks. Good
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large datasets to provide biological insights
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biologist to decipher the genomic regulatory code controlling gene expression in plants. Within the ERC-funded multiCODE project, we aim to unravel how plants control gene expression across different tissues
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motor units and controls an ankle rehabilitation robots link to paper . Your tasks will be: As a postdoctoral researcher, you will lead the development and integration of advanced neuromuscular