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. Randomization, participant training, and implementation of the intervention. Mandatory requirements: PhD obtained within the past 7 years, with degree completion by January 2027. Availability to conduct the post
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at: https://forms.gle/qxf5vo5kKmf9sBNV7 . Mandatory requirements: Bachelor’s degree in Biological Sciences and a PhD in Biotechnology, either completed or with the defense scheduled before the start of
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics
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strategies and artificial intelligence based on chemical analysis results. The researcher will be responsible for the integration, processing, and interpretation of data, applying statistical methods and
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reports; publish high-impact papers; lead dataset deposits; organize partner workshops. Mandatory requirements PhD in Soil Science, Agronomy or Environmental Science; Solid experience with soil macrofauna
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high-throughput datasets); • PhD in Bioinformatics, Computational Biology, or a related field; • Strong experience in bioinformatics and analysis of next-generation sequencing data; • Proficiency in
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cloning, confocal microscopy, next-generation sequencing, bioinformatics. Mandatory requirements: Applicants must have obtained their PhD within the past seven years; demonstrate experience in at least one
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, statistical analyses (including multivariate approaches), and scientific writing. Mandatory requirements: PhD in physiology, ecology, neuroendocrinology, molecular biology, or related fields. Strong experience
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. REQUIREMENTS PhD in Bioinformatics, Computational Biology, or a related field. Strong experience in bioinformatics and analysis of next-generation sequencing data. Proficiency in programming languages such as R
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, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks