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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market
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presentations. Your profile Applicants should hold a PhD in mechanical or process engineering or similar. The selected applicant must have a high level of expertise and experience in CFD, specifically in using
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Curriculum vitae Master’s degree and PhD degree or equivalent (copy of original + verified English translation) A complete list of publications Reference letters/references may also be included A statement of
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(CIL) and contribute to open-source reproducible research. Together, we aim to push the boundaries of mathematical imaging data science, materials science and digital building technology
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and handling NK cells and/or macrophages will also be appreciated. Knowledge about synthetic biology, CAR/protein engineering and mRNA-transduction is important, but not necessary. Experience with
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activities within the areas of embedded software. The position requires a PhD degree within a relevant area (e.g. software, computer, or control engineering) and the desired candidate is expected to have
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must include: Motivated application. Curriculum Vitae. Master’s and PhD degree certificates or equivalent (copy of original/official English translation). Complete list of publications. Publications most
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research areas. Profile and requirements You have a PhD degree in Software Engineering, Computer Science, Cybersecurity, or a related field. You have experience in publishing research in high-impact
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on the application material, and an application must include: Motivated application. Curriculum Vitae. Master’s and PhD degree certificates or equivalent (copy of original/official English translation). Complete list
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the applicant's interest, qualifications, and motivation for the position (max. 2 pages). Detailed Curriculum Vitae, including personal contact information. Master’s and PhD degree certificates or equivalent (copy