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Job Description Are you worried about the coastal regions in an era of climate change and plastic pollution? Do you want to play a part in the development of a novel numerical model that can shed
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of the DTU Offshore model for achieving goals and viable solutions, which has driven the rapid development of geo-energy production engineering. This collaborative approach will continue. Teaching
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DTU Tenure Track Assistant Professor in Nanofabrication of Photonic Integrated Circuits for Quant...
. Employ finite element computer models for photonic crystals, metalenses, and DUV stepper reticle design. Optical and structural characterization of the fabricated devices. Contribute to education and
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core part of the DTU Offshore model for achieving goals and viable solutions, which has driven the rapid development of geo-energy production engineering. This collaborative approach will continue
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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-driven methods, applied both to empirical research and to methodological innovation in economics and the social sciences. The successful candidate will employ advanced AI tools to analyze, model, and
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advantageous: Familiarity with LCA modelling, with consideration of mass and substance balances, data quality assessment, sensitivity and uncertainty assessment applied to membranes or similar products
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an open 2-year postdoc position in relation EUROfusion; specifically, on remote maintenance of fusion power plants. The project is on modelling and controller design for the transporter robot for extracting
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models