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supply system for providing electricity (and heat/cooling) for the DAC plant Detailed model for DAC operation with respect to fluctuating energy supply and climatic conditions Model for assessing
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is advantageous High motivation to complete the doctorate within three years Very good organizational skills Ability to show initiative and work independently Very good cooperation and communication
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laboratory with two millikelvin scanning probe microscopes in ultra-high vacuum with adiabatic demagnetization refrigeration (Rev. Sci. Instrum. 92, 063701, (2021)). The millikelvin systems reach temperatures
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assemblies prior to, during, and after cell operation Participation in project meetings Coordination with internal and external project partners Publication and presentation of research results in relevant
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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energy system model workflows Your Profile: Master’s degree in computer science, data science, natural sciences, economics, engineering, mathematics or a related field of study Huge interest in data
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-called lean alloys, and material systems with a high tolerance to impurities from the use of secondary raw materials are of particular relevance for improving recyclability and sustainability. Al-Ca is a
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however require a significant measurement effort to be estimated, especially in the high-precision regime relevant for fault-tolerant quantum computing. You will investigate recent advances in
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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water electrolysis would be an asset High motivation for pursuing a PhD within 3 years Ability to show initiative and work independently Excellent skills in spoken and written English Our Offer: We work