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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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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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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
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been oriented around high performance computing (HPC) but are increasingly migrating to cloud-based solutions. We are seeking a talented software engineer to bring in this transition. You'll Be Solving
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cloud platforms. Collaborate with design and development teams to integrate AI modules into user-facing applications. Engage with the Deaf community for participatory design and evaluation activities
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pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
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candidate’s application include: experience with whole-genome or exome sequencing pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud
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and/or MD in computational biology, bioinformatics, genomics, or other related fields. Proficiency with high-throughput sequencing data analysis and cluster/cloud computing. Expertise in variant calling