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Field
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contrail development which operate at the plume scale, regional- to global-scale models of the cloud response, and real-world observations of both. The lack of a consistent contrail modelling framework makes
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Postdoctoral position in Software Engineering will focus on Microservices Architecture and Cloud-Native Systems, offering an exciting opportunity for a dedicated researcher to contribute to cutting-edge studies
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analyzes data in a cloud-computing environment (e.g., VA VINCI). Organizes and manipulates administrative health care data and electronic health record data to support answering health services research
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international level, to address the UM6P challenges in terms of research and education, covering all aspects of computer science, including but not limited to algorithms, databases, cloud computing, machine
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analysis tools Experience in machining learning methods in omics analysis Experience with high-performance computing and cloud-based analysis platform Previous experience in grant writing and manuscript
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
virtuous model. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-08677 Requirements Skills/Qualifications Software development: Java / Python / Web Cloud technology Teamwork
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collaboratively in an interdisciplinary team. Good to have Experience in smart contract development, preferably in Solidity. Familiarity with cloud computing and shell script. Knowledge of biomedical blockchain
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bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing platforms. To Apply: Please submit
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group at ETHZ. As part of this, the group collects and analyses an unprecendented set of field and laboratory datasets. The collected data includes timelapse point clouds, video imagery, total station
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datasets. The collected data includes timelapse point clouds, video imagery, total station and GNSS measurements, as well as climatic data. This data is then processed to derive high temporal and spatial