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algorithms to analyze OMICS data (e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research perform single-cell RNA-Seq and spatial transcriptomics analysis apply artificial
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of these changes at large (~1000km) and medium spatial (~100km) scales. This includes quantifying the mechanisms underlying the land-ocean connection and its role in shaping underwater lightscapes in the southern
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development efforts for ERGOM. The primary objective of this position is to generate high-resolution seagrass distribution maps for the Baltic Sea, achieving a spatial resolution of approximately 1 nautical
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interdisciplinary and transdisciplinary analytical skills which bridge science and marine policy, including research experience in European coastal and marine systems. Experience in spatial data analysis using
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–biodiversity relationships are linked to acoustic comfort–restoration outcomes. The models will integrate spatially-explicit structural complexity variables, landscape imperviousness variables, biodiversity
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, depending on the geographical and economic context. It will include a deep dive on the potential of Ukraine to become a green hydrogen hub, leveraging geo-spatial energy models run by project partners. As
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions
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Euro / year + benefits). 3D Semantic Scene Understanding: The world around us exists spatially in 3D, and it is crucial to understand real-world scenes in 3D to enable virtual or robotic interactions