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this field, we are looking for a PhD candidate for the development of novel multi-constituent nanopastes. Central questions are suitable paste chemistries and the interaction between organic and in-organic
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opportunities for the PhD candidate. Your profile We are looking for suitable candidates with a master level degree in material science, chemical engineering, physical chemistry or related fields with excellent
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materials and devices based on nanoscale surface effects, utilizing a combination of experimental and computational approaches. We are looking for a highly motivated PhD candidate fascinated by quantum
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, chemistry, physics, chemical engineering, environmental engineering, or a related field. The ideal candidate should have a passion for sustainability and an interest in using innovative materials to address
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. Our Centre for X-ray Analytics developsX-ray...
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microbiology, as well as bioinformatics and the analysis of big datasets. Moreover, the Biozentrum offers excellent internal support from various core facilities with expert staff, and a structured PhD program
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical challenges. Our core research topics include but not limited to the following...