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CRM mobilization under undisturbed conditions. The work include multi-elementand isotope analysis and data interpretation. Mineralogical characterization (µXRF, XRD, SEM-EDS, electron microprobe, LA
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6 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire lorrain de recherche en informatique et ses applications Research Field Computer science Mathematics » Algorithms
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techniques, data analysis, and scientific communication. Required: PhD in chemistry, physics, biomedical engineering, or other related discipline. Past graduate or postdoctoral experience in spectroscopy and
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of their applications. * Please view our policy for rules on external professional activities ( https://groups.oist.jp/acd/information-disclosure/ ). * Further details about the University can be viewed on our website
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Skills and Abilities: Experience with acquisition and analysis of behavioral, physical and neuropsychological data and functional MRI. Knowledge of research methodology, quantitative data analysis
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of ownership and pride in our work. With this approach in mind, the team is organized into a zone-based structure and employs flexible work hours, data analysis, and technology to meet operational goals. Your
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, linear mixed modelling, time series analysis, causal inference). Experience working with large, multimodal and/or open access data sets Interpersonal and communication skills toeffectively collaborate and
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» OtherEducation LevelPhD or equivalent LanguagesENGLISHLevelGood Research FieldMedical sciencesYears of Research Experience1 - 4 Additional Information Additional comments https://bandi.unibo.it/s/apos5/rif-1575
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appointments. Manages the collection and storage of study data. Management of study data includes contribution to the initial development of study database and some ongoing data analysis. Supports activities
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The Bioinformatics Assistant will provide computational and software development support to the Laboratory of Host-Pathogen Biology, including development and maintenance of data analysis pipelines, web applications