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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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. Experience in phase-contrast and/or dark-field x-ray imaging. Experience in working with photon-counting x-ray detectors Experience with scanning x-ray imaging such as SAXS mapping, SAXS tensor tomography
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aimed at developing data-driven methods to map biological values, identify biodiversity indicators and predict the effects of various management and restoration measures in streams and rivers. The work is
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new flagship research program aiming to to map the molecular structure and function of single human cells in time and space and create AI-based models to predict human cells. It is funded by the Knut
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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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at Lund University Work assignments The proposed PhD project will first map the antibody epitope landscape of bacterial antigens to identify the most vulnerable and functionally relevant epitopes
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advantageous occupational pension scheme. Read more on the University website about being a Lund University employee: Work at Lund University Work assignments The proposed PhD project will first map the antibody
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of Technology. The Alpha Cell Program is a newly launched research initiative, which is dedicated to mapping the proteins of the human cell, with a particular focus on analyzing different aspects of the human
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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