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aims to develop an integrated approach for the mapping and analysis of land degradation status, drivers, impacts and responses. The successful candidate will process and analyse satellite and airborne
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Tunisia. This project aims to develop an integrated approach for the mapping and analysis of land degradation status, drivers, impacts and responses. The successful candidate will process and analyse
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publication on Cypriot copper-based metal artefacts Experience working with public museum collections and excavation archives Experience in handheld XRF analysis Position Preferred Qualifications: Knowledge
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for degrading microplastics by numerically implementing asymptotic models and using Boundary Element Methods. Perform parametric studies using the resulting code to investigate the effect of material parameters
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-state activities. Literature Review and Analysis: Conduct comprehensive reviews of existing literature in international law, human rights, and case studies on disappearances, synthesizing insights
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working under the Horizon ERC-StG project: “The role of base molecules in aerosol formation, BAE” and will have the responsibility to gain and share expertise in both experimental and data analysis of mass
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. ➢ Data analysis. ➢ Artificial Intelligence and Machine Learning algorithms. ➢ Forecasting algorithms, digital twin models and control strategies. ➢ Power system simulation tests using hardware-in-the-loop
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sources. ➢ Photovoltaics and energy storage systems. ➢ Data analysis. ➢ Artificial Intelligence and Machine Learning algorithms. ➢ Forecasting algorithms, digital twin models and control strategies. ➢ Power
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an interdisciplinary team. Position Preferred Qualifications: HPC Experience Experience in deep learning methodologies applied in imaging data and computer vision. Statistical analysis skills: Competence in statistical
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“ARIADNE” project dedicated to the experimental characterization of the chemical composition and sources of the absorbing component of Particulate Matter (PM) using a large suite of off-line (filter-based