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. Control of the capture plant requires deep knowledge of solvent health, to understand if the right amount of makeup and water balance is maintained. Impurities coming from the upstream industrial processes
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student, you will be enrolled in the PhD school at DTU Compute and affiliated with the Visual Computing Section. Much of your work will be carried out at the Danish Technological Institute, where DEXTRA
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are desirable, but not required: Experience working with data analysis in R (the research group you will be joining works primarily in R) Experience working with RNA sequencing data Experience working with
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PhD Project in Particle Astrophysics and Multimessenger Astrophysics Niels Bohr Institute Faculty of SCIENCE University of Copenhagen The Niels Bohr Institute invites applicants for a PhD fellowship
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the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply. DTU Aqua – National Institute of Aquatic
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to establish your career as an early-stage researcher and are currently looking for the best possible foundation for your dreams and ambitions, then look no further. Page PhD scholarship in Optical Communication
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of applying your research into developing systems that address real-world challenges, for instance disaster prevention, swarm technology and predictive maintenance. Your responsibilities could be found within
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part of PSBT section at DTU Bioengineering. The candidate will interact with with other groups at DTU Bioengineering, Health Technology and international partners. More details can be found at group page
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-leading research environment and contribute to developing the next generation of data driven methods for optimization and control of large wind power plants. You will get the opportunity to participate and
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on the Psychology program. Ability to teach, supervise, and assess written and oral performances. International applicants are expected to learn Danish. Aalborg University works with a problem-based learning model