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of the transplanted sites, (6) statistically analyse data obtained, (7) write reports and scientific research articles, and (8) present results in project’ meetings as well as in national and international conferences
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programming You have experience with modeling, statistical analysis and/or machine learning Experience with DNA- or RNA-sequencing data analysis is a plus Education and training You hold a PhD degree in
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closely related scientific fields. Experience or familiarity with research areas such as soilless cultivation, fertigation practices, data analysis and statistical approaches, or sustainability-related
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PhD Positions Application Deadline 16 Feb 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Mar 2026 Is the job funded
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) Positions PhD Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Mar 2026 Is the job
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well suited include soil science, agronomy, plant or environmental sciences. Experience in areas such as bioinformatics, image analysis, statistics, or modelling applied to plant-soil systems would be
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dopamine receptors in the striatum and substantia nigra by Western blot. Statistical analysis and representation of data using Excel and GraphPad Prism softwares. Preparation of results for presentation in
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learning and the use of robust statistics. This work is naturally extended to studying physics prospects for the next generation of detectors. IFAE is supported by its own PIC computing center, a Tier1 LHC
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-anticipation Brief Theme Description: Current Foundation Models (FMs) excel at high-dimensional statistical pattern matching, yet they often lack an internal representation of the causal dynamics governing
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Researcher profile: Recognised Researcher (R2 - PhD holders or equivalent who are not yet fully independent) Number of vacancies: 1 Project: ERC Bilingual LENS Founding source: ERC Bilingual LENS Location