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Field
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. Determine how plant P sensing and signalling influence mycorrhizal colonization and responses. 2. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency
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include: How does the adsorption of pollutants change with plastic weathering? To what extent do desorption and leaching occur? What transport processes govern the mobility of microplastics and their
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using functional 2D materials. • Organic synthesis and typical characterization methods, as NMR, FTIR, MS, EA, UV-vis and fluorescence spectroscopy. • Methods for 2D materials processing and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 20 days ago
our jobs website . Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk
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). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
submit your CV, your academic records, a statement of your research interests, and contacts of two referees. Processing of applications will start after the first deadline of 1st December 2025 and will
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how plant P sensing and signalling influence mycorrhizal colonization and responses. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency under water
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience
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for climate-positive and CO2-negative processes. What you will do Optimization of the pilot plant for the combustion of solid fuels (biomass, waste) with oxygen and subsequent CO2 capture Development of models
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on the Wissenschaftszeitvertragsgesetz (WissZeitVG). ISAS collects and processes the personal data of its applicants in accordance with European and German legal regulations. Further information on data protection and the processing