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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our
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separation in relation to the environmental challenges of mining. • Investigate leaching and extraction mechanisms in these unconventional media (complexation, structuring, kinetics, thermodynamics). • Explore
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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layer composition and structure Advanced knowledge of the impact of air pollution on health and on aquatic environment and terrestrial ecosystems Air quality and climate change effects Emission, transport
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for the "Living Manufacture: An Engineered Living Materials based Fabrication Platform" project. We're in search of a dedicated, motivated, and innovative researcher to join the Living Construction research group
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Nanotechnology Surface Treatments was established in 2010 as part of the Institute of Physical Electronics and was funded by European Structural Funds and recognised as a Key Technology Centre (KET) by
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European Structural Funds and recognised as a Key Technology Centre (KET) by the European Union. Job Description Researcher II will work in the Plasma Diagnostics and Modeling group. He/she will be primarily
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of work: low-resolution algorithms, model optimisation with HPC techniques, edge computing, quantum computing, energy-efficient compact data structures, NLP optimisation. Justification of duration A