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is desirable. Strong programming skills are necessary. Good knowledge of English (spoken and written) is essential. Employment will be according to standard regulations at ETH (funding secured for 4
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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communication skills in English and German; programming skills in R; enrolled in a Bachelor or Master program at a Swiss university. Desirable a strong command of R Markdown and Latex; previous experience with
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) of the following: energy systems analysis with mathematical optimization (emphasis on adequate modelling, problem formulation), electricity markets, renewable gases (e.g. hydrogen). Provable programming skills
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, supported by an excellent command of German and English, and preferably have working knowledge of French. Ideally, you are willing to hold office for at least two terms (i.e. eight years), and could assume
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integral partof your work, you will publish your results in peer-reviewed journals and present them at international conferences. Profile You meet the requirements for a doctoral program at ETH Zurich and
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to run a world-class research and teaching program that emphasizes industrial translation of Artificial Intelligence methods within a Design and Manufacturing context. This position is envisaged to be part
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the future your field of activity might also include application of our cutting-edge Simulation environment Software MORe www.more-simulations.ch. Your Tasks Plan and perform experiments (DoE) in a laboratory
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support productivity workflows, guided by emerging large language models. Candidates ideally have a background in Computer Science and prior experience with human-computer interaction (e.g., through courses