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machine learning methods to investigate how ecosystem water stress and drought disturbances affect relevant forest ecosystem functioning at various scales. It will enable advanced assessment of forest
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, DRX, XPS, etc.). Experience in Atomic Layer Deposition, mechanical, electrical and/or thermal characterizations of materials, is a plus. High-level scientific and technological track record related
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of materials, is a plus. High-level scientific and technological track record related to material chemistry and/or electroplating is a plus. Strong communication and interpersonal skills; The candidate should be
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, the valuation of other ES will be performed based on benefit transfer methodologies, considering forest function/flow values obtained in other research context to put into context the value of OFR
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outcomes of this project will help to better retrieve the soil moisture in the presence of vegetation at high spatial resolution and, at the same time, estimate the plant water content. Automatic and
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profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science with a focus on AI and/or cybersecurity Experience and skills 1-2 years of post-PhD research and
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international