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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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activity (work, studies, etc.) in Germany for more than 12 months in the last 36 months Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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Your Job: The PhD candidate will be in charge of: The development of photopolymerizable hydrogel blends with n-type and p-type semiconductor capabilities The pattering of the semiconducting hydrogel
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Infrastructure? No Offer Description Work group: IBI-3 - Bioelektronik Area of research: Promotion Job description: Your Job: The PhD candidate will be in charge of: The development of photopolymerizable hydrogel
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of global trends and technology-specific impacts on electricity production Integration of projected volatile electricity production into existing energy system models along with an assessment of how climate
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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron
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Your Job: Current political developments clearly show how crucial a robust and affordable energy supply is for society and the economy. The transition to a greenhouse gas-neutral, renewable energy
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to provide most of our electricity. Hydrogen and its derivatives are becoming increasingly important - and even during periods of low wind and sun, new, emission-free technologies and strategies are necessary