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genomic data from extinct and extant species, and machine learning, you will help develop a foundational tool for predicting extinction risk and advancing the use of genomics in conservation science. Job
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pioneering quantum-enhanced Raman and Rayleigh scattering microscopy within a cutting-edge research center at the intersection of quantum technology and biomedicine. You will become part of a vibrant
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adjustment and plate tectonics. The analysis will encompass both network wide and local analysis using data from Greenland GNSS Network (GNET). You will target specific regions where there can be an unresolved
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in