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of renewable biological resources, including in relation to environmental variability. This includes the development and use of data analysis methods and models capable of describing and integrating physical and
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laboratory but mostly in the field supporting the evaluation of pests and diseases of cork-oak and pine stands; and in the assessment of tress physiological parameters. Working location: The workplace will be
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0048_BLUE_WWATER_1_E, financed by Interreg, under the following conditions: ScientificArea: Biology - Plant Physiology Admission requirements: To have a Master’s degree in Functional Biology and Biotechnology of Plants
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applications for one research grant (Master’s Degree), enrolled in a PhD course or courses that do not confer academic degree, within the framework of project with the reference REFARMING – NORTE 2030 – FEDER
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the output of a machine learning model, capable of assessing the reliability of a given input/output. 2. State of the art regarding non-invasive blood pressure estimation, focusing on the use