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are particularly interested in candidates who can demonstrate experience within the following areas: Required (all): PhD in Wind Energy, Mechanical or Aerospace Engineering, or a related field. Knowledge of
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characterization techniques and related data analysis methods for thin-film materials, as well as with the development of a local NOMAD Oasis data infrastructure for experimental materials science. The ability
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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