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Field
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conduct fieldwork across European mountain ranges and model the distribution of microbial taxa. The newly generated data will be complemented with distribution records from our in-house global fungal
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, % OM, C/N ratio, particle size distribution), chemical composition (lipid and humic fractions), and biological activity through the identification of biomarkers. sample soils after (i) a controlled fire
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declaration of honour. d) Laboratory experience in alternative solvents, namely eutectic systems; e) Experience in measuring and modeling physicochemical properties; f) Not exceed, with the conclusion
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with collaborators developing genome-scale and process-level models. PhD position in adaptive responses of complex methanogenic microbiomes (3 years) This position centers on complex microbial
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the scientific field of the competition. c) Previous experience in statistical analysis of time series and mixed models. d) Previous experience in processing and analysing physiological data (electrodermal
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the composition, physiological function, and pathophysiological relevance of Ca2+-signalling pathways in human sperm Performing high time-resolution recordings of signalling events in the sperm flagellum using
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Assessment Framework for Waterfront Regeneration Projects: A Case Study of the Medway Waterfront, United Kingdom - Eng-PhD-13-25 Demonstration of Absorption Contactors using Ionic Liquids in Sandwich Composite
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Cacciotti, Full Professor and Coordinator of the Ph.D. Course in Advanced Modelling, Materials and Technologies (AMOMAT). The Research Group has consolidated experience in the formulation, synthesis
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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
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conditions corresponding to the natural geological environment to establish a model for the potential hydrogen resource in terms of volume and generation rate. Specifically, you will be responsible