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Job Description SDU Civil and Architectural Engineering (CAE) invites applications for a PhD position in Structural Engineering, with a focus on advancing probabilistic modelling techniques
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
mechanisms in IGBT and SiC Power MOSFET devices by using test structures that mimic actual components as well as actual components under varied humidity, temperature, gaseous, and electrical potential
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for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment. Once the recruitment process is completed a final letter of rejection is sent
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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment. Once the recruitment process is completed a final letter of rejection is sent
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layer composition and structure Advanced knowledge of the impact of air pollution on health and on aquatic environment and terrestrial ecosystems Air quality and climate change effects Emission, transport
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. students, and postdoctoral fellows of diverse nationalities, with backgrounds in chemistry, biochemistry, and engineering. We take pride in working as an inclusive team and we have a balanced gender
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and experimentally demonstrate the potential of advanced optical materials for nanoscale photonics. Your role will involve using a variety of experimental techniques, including fabrication, structural
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning