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: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud computing, and database development and
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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§ Clinical metadata harmonization across cohorts § Integration of clinical and multi-omic microbiome data. § Experience with Python/R and cloud computing preferred Ideal candidate: A computational
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proficiency. Preferred Qualifications: Prior knowledge and experience in at least three of the following: working with high-performance and cloud computing, programming in Python, data analysis and
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microservices architecture and Kubernetes. Knowledge of AWS, Terraform, and other cloud technologies Work Ethic: A strong work ethic with the ability to work independently and as part of a broader team, including
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Responsibilities: Develop and maintain codebases Do experiments to measure and evaluate performance of cloud systems Read and write related academic papers Engage in and facilitate teamwork Co-supervise UG students
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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results. Preferred Qualifications: Experience with generative AI deep learning and active involvement in data science and machine learning projects. Experience in neural network architecture, cloud
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bioinformatics tools and libraries (e.g., Bioconductor, STAR, DESeq2, Seurat) and familiarity with cloud computing platforms and scalable computing infrastructures for large datasets. How to Apply: Interested
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grounded in cutting-edge Earth System modelling. We are recruiting a Postdoctoral Research Associate or Fellow (up to three years) to investigate the potential impacts of Marine Cloud Brightening (MCB) using