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climate change in the region, with a particular focus on cloud cover and properties. He/she will participate in collecting, disseminating and exploiting observational data related to the properties
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. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software development background with programming
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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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, Physics, or a closely related field. Experience in cloud and atmospheric boundary layer observations, modeling, and data analysis, or in Raman and Doppler lidar system development. Strong software
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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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University of Lille offers a 34-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus