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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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for the position go to www.ruc.dk/en/job/ Only applications in English are accepted. Applications must include: 1. Cover letter 2. CV 3. Documentation of education including grades from Master’s programme or
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institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1
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level equivalent to a two-year master's degree in Electrical Engineering, Computer Science, Robotics, Safety Engineering, or related fields. Approval and Enrolment The scholarship for the PhD degree is
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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field, such as bioinformatics, biochemistry, molecular biology, biotechnology, or a related discipline. You must have: Expertise in either computational protein design or wet lab techniques for protein
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2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in