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field. Experience with research activities. Research experience in a laboratory setting. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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higher education institution; - Possess experience in the agronomic characterization of woody species, fruit quality analysis and/or plant breeding. Proficiency in English (written and oral
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the educational project of a higher education institution; - Possess experience in the molecular characterization of woody species, microbiology and analysis of microbial communities by metabarcoding. Proficiency
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encouraged to contribute experimental ideas and analysis methods as well. The postdoc will be involved in experiment design, stimulus creation, participant recruitment and testing, data analysis, writing
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or Molecular Biology PhD in Soil Microbial Ecology or Soil Microbiology or Environmental Microbiology Experience in the analysis of biological data using basic bioinformatic tools (i.e. amplicon sequencing
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or intensity maps. The project focuses on spectroscopic surveys of galaxies — in particular the analysis of data from ESA's Euclid mission — as well as intensity mapping at 21 cm, including observations from
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the last three years prior to the application deadline. Experience in some of the following areas is meritorious: AI and machine learning; convex analysis; functional analysis; mathematical statistics
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investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) “Hope” probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination
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simulations, data analysis, interpretation of results. Interested candidates are asked to send their CV to the e-mail address mirela.pavelescu@infim by 26.01.2026 The interview will take place on January 28
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python and bash, processing of sequencing data, sequence database construction and maintenance, molecular phylogenetics and evolutionary analysis. Informal enquiries should be directed to Dr Victor