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, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CYPRUS UNIVERSITY OF TECHNOLOGY DEPARTMENT OF CIVIL ENGINEERING
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 5 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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skills in scientific 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
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, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical research environment What We Offer
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or connectivity analysis; machine-learning or deep-learning methods for geospatial analyses; ecological or remote-sensing fieldwork, particularly in alpine environments; Google Earth Engine, geodatabases or cloud
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. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous. You will be a highly
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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