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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
Access to vocational training Social security coverage 2 788€ Monthly Gross Salary Selection process Please send your CV and cover letter Website for additional job details https://jobs.inria.fr/public
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in living cells and ensure high-quality, reproducible results. Process and analyze high-throughput sequencing data, including the lab’s DMS-MaPseq pipeline, while developing computational workflows
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analysis? Are you inspired by applications to engineering, physics, or industrial problems? Do you thrive in a multi-disciplinary environment? Information Many of the most challenging problems in science and
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unexpected phenotypes. Internal Application form(s) needed postdoc_CG_2026.pdf English (488.45 KB - PDF) Download Additional Information Selection process Applications should be sent to : Dr Valentin Greigert
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spaces, data protection, privacy and digital trust frameworks. Where to apply Website https://www.mtu.ie/vacancies/ Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills
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researcher who has a strong background in natural sciences including freshwater sciences. The candidate should have a PhD in natural sciences (e.g., ecology, physical geography, forestry), ideally with
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referees. All applications must be addressed to Dr. Vivek Malhotra and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Selection Process Pre-selection
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Vaccine,” stating that you would like to participate in the selection process and including the following documentation: a) A letter of intent describing the technical skills relevant to the selection
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The Stevenson Lab in the Department of Physics seeks a Postdoctoral Research Associate
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Dr. Playdon’s research, visit her faculty profile https://profiles.faculty.utah.edu/u6017378 . Details about the NIH-funded project (1R01CA313949) can be found on NIH RePORTER: https://reporter.nih.gov