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into the developed process. The candidate will work closely with several postdocs on the project. The ideal candidate has a background in polymer processing, with some experience in 3D printing and polymer
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projects that integrate the expertise of different European partners in electrochemistry, electrochemical energy storage, electronics, process engineering, smart sensors, IoT, and solar power industries
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legal experts to push this process forward with a focus on supporting the use of synthetic health data in academic research, enabling all parties with the space and support to understand each others
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applicants must have: PhD degree in physics, astronomy, mathematics, engineering, chemistry or similar. Experience with static magnetism (magnetostatics) as gained e.g. from physics courses in electromagnetism
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informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a
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. Dissemination of the research results. Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core skills for the project are: Experience in inorganic
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part of the SAFEMig Project. The project aims to develop efficient and safe RL algorithms with provable guarantees. An autonomous system uses its senses(physical measurements) to learn about a physical
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in modeling biological processes. Experience in use of process simulation tools such as Matlab, Aquasim, Superpro Designer or similar. Expertise within fermentation technology and/or gas fermentation
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open source – tools. Such simulators may be based on different programming languages (e.g. C++, Java, C#, Python) Modularize each simulator into its logical sub-components. This process relates to ML