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into consideration. We are looking for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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) You will work within the Electronic Plants group, led by Senior Associate Professor Eleni Stavrinidou. This interdisciplinary team is driven by a passion for interfacing plants and technology to address
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Professor Eleni Stavrinidou. This interdisciplinary team is driven by a passion for interfacing plants and technology to address societal needs and satisfy scientific curiosity. Our main research directions
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staff position within a Research Infrastructure? No Offer Description Light emission diode technology has undergone a rapid development in the last decades, defining a steeply growing worldwide market
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groundbreaking work on enzyme-triggered electrode fabrication in animal models (Strakosas et al., Science, 2023; https://doi.org/10.1126/science.adc9998 ), this project leverages enzymatic polymerization to create
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curious and motivated postdoc with a PhD in biomedical engineering, physics, materials science, organic chemistry—or similar—and a drive to explore new frontiers in science. 👉 Learn more and apply here