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for developing and optimizing plasma-based functionalization processes for ferrimagnetic nanoparticles. The successful candidate will be responsible for investigating the relationships between plasma parameters
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The project's main tasks focus on the development and optimization of new retroelement-based genome engineering tools; the design, execution, and analysis of molecular and cellular biology experiments; and the
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to develop, optimize and apply advanced mass spectrometry approaches for the structural and molecular characterization of ARDCs, and to analyze and interpret the resulting data. - Develop and optimize mass
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optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization, including applications such as prediction, surrogate modelling, uncertainty quantification
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individuals holding a PhD in the Life Sciences or an M.S. degree with extensive experience are encouraged to apply. This position will be hired at either the Postdoctoral Research Associate classification
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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Stellenanzeige teilen Are you passionate about understanding how artificial intelligence behaves and how it can be optimized to deliver meaningful impact in medicine? Join an interdisciplinary research environment
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optimization, evolving error correction techniques, and applications. We use locally hosted quantum computers based on superconducting technology in our experiments as well as the resources of our national
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD
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intelligence-driven approaches to industry challenges, such as warehouse management, ocean freight optimization, and reshoring high-technology industry sectors such as semiconductors and electric vehicles