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Field
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perspective. Sensors of animals and their environment will be used and connected to cloud services. Massive, real-time data will be used to perform an integrated environmental and energy evaluation of the farms
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integrated with new user-friendly visual data processing applications for metabolomics data analyses in life-sciences, which can be used locally, in the cloud and in the Galaxy workflow system. The successful
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evaluation Knowledge in biology and genomics Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy) Familiarity with Linux environments, version control (Git), cloud
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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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are preferred. The Department of Computational Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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genomic and clinical datasets, and in developing reproducible, scalable analytical workflows (using scripting languages such as R/Python) within high-performance or cloud computing environments. You will
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. The 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