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Field
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health
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, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices. Excellent communication, stakeholder engagement and collaboration
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. Experience using high-performance computing and/or cloud computing. Ability to work independently as well as collaboratively in an interdisciplinary research environment. Strong written and oral
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, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health
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in international research collaborations, scientific campaigns, and research mobility. Experience with research infrastructures and experimental campaigns involving the monitoring of clouds, aerosols
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 16 hours ago
epithelial cell or tissue culture, permeability and transport testing, aerosol- or cloud-based exposure, assessment of epithelial barrier integrity and assay performance, regional deposition testing, mucus
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software development, cloud computing, data engineering, algorithm design, or scalable computational workflows is a strong plus. Excellent written and verbal communication skills, with the ability to work
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evidenced by publications or submitted manuscripts in refereed journals Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration
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/software-engineering/), which has a strong track record in model-based software development and undertakes research on applications in areas such as healthcare, cloud technology and internet-of-things
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technologies for seamlessly integrating Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN) into a unified future network architecture. The project focuses on cloud-native multi-access edge computing