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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to
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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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, which might just be the right project for you. The project is integrated in a large effort financed by the Novo Nordisk Foundation. It is led by the Department of Plant Biology at the University
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here . Further information Further information may be obtained from Associate Professor Yang Hu (yanhu@dtu.dk) You can read more about DTU Energy at www.energy.dtu.dk If you are applying from abroad, you
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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
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degree (or equivalent) in microbiology, biotechnology, food science, or a closely related field. Strong background in yeast biology, fermentation technology, or protein-rich microbial systems. Experience
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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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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with