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to vastly improve our ability to recover microbial genomes from metagenomes. Specifically, we aim to take advantage of the vast amount of high-quality long-read data that is readily obtainable using
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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@inserm.fr Requirements Research FieldBiological sciences » Biological engineeringEducation LevelPhD or equivalent Skills/Qualifications Main responsibilities: Bioinformatics, data indexing, large-scale
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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. The position will require strong quantitative skills to analyze data from a large community-based cluster randomized trial of nutrition and psychosocial stimulation provision to caregivers and their young
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to tackle social challenges. At the Faculty of Science, scientists and students work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data
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applications Familiarity with machine learning/predictive modeling in healthcare. Experience with big data tools (SQL, Spark) or cloud-based platforms (Azure, AWS). Proficiency in Spanish or other languages is
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA
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candidate will be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range of biologically relevant data
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, conducts lab experiments, analyzes and communicates data in the form