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                paths at DTU here . Further information Further information may be obtained from Alex Toftgaard Nielsen (atn@biosustain.dtu.dk ) You can read more about DTU Biosustain at www.biosustain.dtu.dk If you are 
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                . As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions 
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                to generate novel materials with targeted optical properties. More information can be found in the following News post . Responsibilities and qualifications Your overall focus will be to synthesize and 
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                agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Marta Victoria (mvipe 
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                information If you would like additional information about the position, please contact Head of Section, David Verelst on +45 46 77 40 26 or dave@dtu.dk . You can read more about DTU Wind and Energy Systems 
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                January 2026 or as soon as possible thereafter. The position is a full-time position. You can read more about career paths at DTU here . Further information Further information may be obtained from Senior 
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                predictive framework linking genomic data to extinction risk, working at the interface of evolutionary genomics, simulation modelling, and machine learning. By integrating forward-in-time simulations, real 
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                . Expertise in some of the following areas is expected: Expertise in quantum information processing, quantum optics, or related fields. Strong experimental skills and solid theoretical understanding of quantum 
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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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                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