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the appointment process, special attention will be given to research skills. Eligible applicants must hold a PhD in aquatic remote sensing with documented experience in mapping submerged vegetation. Requirements
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contribute to the development of innovative, AI-based solutions for mapping forest disturbances using satellite data and deep learning.. About the position Forests across Europe are experiencing unprecedented
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Lund University, Centre for Mathematical Sciences Position ID: 1812-POSTALG [#27037] Position Title: Position Type: Postdoctoral Position Location: Lund, Skane Lan 22100, Sweden [map ] Subject Area
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for unknown, dynamically changing environments with real-time adaptation and safety guarantees. -Exploration and mapping approaches for transitioning from planetary surface skylights to subsurface lava tubes
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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lead the integration of a rich portfolio of breast‑cancer datasets, including spatial transcriptomics and spatial epigenomics maps, single‑cell RNA‑seq and ATAC‑seq profiles, high‑resolution whole‑slide
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. Your work will focus on one or more of the following areas: Counterdata mapping: using AI-assisted methods to identify and visualize structural absences in datasets related to marginalized communities
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tetramers, BCR/TCR sequencing, single-cell multi-omics (RNA/ATAC/CITE/TCR-seq), and functional assays to map antiviral responses at high resolution. This project will be carried out as a close collaboration
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sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models that unlock
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methods to predict the origin and dispersal patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr