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, genetics, genomics, and epigenomics. Theoretical or (preferably) practical knowledge of short- and long-read sequencing techniques and the analysis of such data, e.g., RNA-Seq, metagenomic data. Documented
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computational algorithm(s), perform data analysis, collaborate with biologists and physicians. He or she will lead multiple projects, work in a multidisciplinary environment and present/publish the results in
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Earth Observation data analysis and/or spatial modeling Proven ability to publish in high impact peer-reviewed international journals Experience with machine/deep learning / AI applied to environmental
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functional analysis of soil biology. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
) Optimization and parameter identification methods Data-driven modeling and machine learning Physics-Informed Learning (or hybrid modeling approaches) Handling and analysis of large-scale datasets (e.g., mobility
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meteorological data Numerical oceanographic modeling Development of a warning system for extreme sea levels Analysis of results, writing scientific papers Where to apply E-mail teodora.rogosic@unist.hr
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, thereby enabling the project's results to be implemented as widely as possible.. 2. Content-enriched digital archival representation. The data extracted from the content analysis will be used to enrich
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data analysis, manuscripts preparation Where to apply E-mail mmankowska@amu.edu.pl Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills/Qualifications a)PhD
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techniques. ● Perform biochemical analysis through kinase assay, Western Blotting etc. Data analysis and participate in manuscript writing for publication; may assist in grant writing. ● Perform
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data science, and/or public health or related fields including health services research, health informatics, computer scienceExperience in data analysis using statistical software & machine learning (e.g