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, primarily pigs. Strong analytical skills, with experience from large scale data analysis from microbiome and resistome analyses. Experience from molecular biology work. Strong skills in bioinformatics
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: nationality/ies: AFRICA EUROPE OCEANIA NORTH AMERICA SOUTH AMERICA ASIA Website for additional job details https://www.unive.it/data/50362/?id=2026-UNVE000-0062448 Work Location(s) Number of offers
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods
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of slightly reduced working hours ( https://go.fzj.de/near-full-time ) The opportunity to work to some extend from home or another location within reasonable limits and in consultation with the supervisor 30
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analysis. - Treat human and mouse cell cultures in vitro. - Receive training in the use of the cold plasma source from physicists. - Liaise with our German colleagues regarding the shipment of biological
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential
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responsibilities will include: Organizing and supervising work in the molecular laboratory; Working with human biological samples (blood, urine, umbilical tissue, placenta, etc.); Isolation of DNA and RNA from
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"Advancing the Study of Social Isolation, Loneliness, and Cognitive Functioning in Older Adults Through the Use of Integrative Data Analysis.” As a postdoctoral associate, you will focus primarily on data
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CAD software like KiCad (or equivalent); - Confirmed programming skills, particularly in C and C++, as well as data analysis and processing using Python-based tools; - Ability to work in an
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Deadline 16 Mar 2026 - 16:00 (Europe/Bucharest) Country Romania Type of Contract Temporary Job Status Part-time Hours Per Week 12 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research