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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
processing, statistics or a related discipline, excellent programming skills (e.g., in Python or Matlab), and good communication skills in English, both written and oral. Website for additional job details
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
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virtual chemical library screening pipeline on a computing cluster (4,000 cores). - Develop protocols for aggregating, processing and filtering the data resulting from the pipeline. - Design an interactive
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bioinformatics to understand the functional role of lipids in the development of glioblastomas. The project is embedded within these activities, ensuring a stimulating scientific environment at the interface
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; medicine and biology ; signal and data processing. The recruited person will join the scientific computing team of the laboratory and will also be associated to the INRIA Alpines team, a joint research group
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models is a plus. ● Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. ● Experience with the processing of genomic biological data (whole exome or genome sequencing) is a