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an interdisciplinary department under the Faculty of Technical Sciences at Aarhus University. The expertise of the department ranges from physics, chemistry, microbiology, social science, geography
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, email: [email protected] . If you need help uploading your application or have any questions about the recruitment process, please contact HR Supporter, Charlotte Thomsen, email: [email protected]
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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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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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into its logical sub-components. This process relates to ML concepts such as causality, representation learning, inductive bias, regularization, graph neural networks. Contribute to new machine learning
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for evaluation. The selected applicants will be informed about the composition of the committee and will receive his/her assessment. Once the recruitment process is completed a final letter of rejection is sent
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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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. 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