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motivated by overcoming challenges as they occur. You will also actively participate in the supervision and mentoring of bachelor, master, and PhD students. You should be a capable communicator in English
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functionalization. The primary synthesis technique will be hydrothermal. Characterization with a range of advanced techniques e.g. electron microscopy, Raman and infra-red spectroscopy, XPS, Zeta potential
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data at both the action potential and local field potential levels. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally
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, ice sheets, sea level and GNET data to understand the development ice-solid earth interaction with the aim to develop dynamic reference frames and integrated models which pushes the boundaries of both
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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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writing scientific papers. The developed models will be tested on data from energy investment models, as well as transport infrastructure problems. We will be an academic team of three PhD students and four
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. Supervise BSc, MSc, and potentially PhD student projects that are relevant to your research Contribute to teaching courses relevant to your project at the department Expand our current data infrastructure
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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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combines top-tier expertise in CFPS systems and NN world class proficiency in yeast engineering and cultivation. Your primary tasks will be to: Design and conduct experiments to optimize the production
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outperforms previous magnetoresistive devices by orders of magnitude, and ii) assess its potential for applications, including magnetoresistive sensors. Responsibilities and qualifications The primary tasks