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the development of a high k Si3N4 that retains its mechanical performance is very desirable and the subject of current research around the world. The highest k value yet achieved in a laboratory is ~170 Wm-1K-1
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cookie and refresh page to watch video, or click here to open video) About the position Studies of phase formation, evolution of microstructure and casting defects in high-pressure die casting of recycled
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and increasing weather extremes that affect ecosystem functioning. The programme brings together interdisciplinary expertise spanning natural, social, and technical sciences. Within REAP2SOW, our work
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environment within the Collaborative Research Centre TPChange program funded by the German Research Foundation and the European Research Infrastructure IAGOS Opportunities to attend conferences abroad and visit
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Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
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quantification, and high-performance computing, with applications in the natural and engineering sciences. The position also includes teaching responsibilities equivalent to 4 contact hours per week, as
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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desire to do high-quality research Why TUM? TUM is consistently ranked among the best universities in Europe and as the top technical university in Germany. Our group is part of the School of Computation
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Helmholtz Centre for Environmental Research - UFZ • | Leipzig, Sachsen | Germany | about 24 hours ago
for learning German are provided. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications for open doctoral positions
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awareness, and decision quality. The project will examine how system design, automation characteristics, and regulatory or governance constraints shape human performance and patient outcomes in safety