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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
the reliability of non-destructive testing and structural health monitoring methods The objective is to develop and validate a hybrid approach combining simulation and experiment to analyse the reliability
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research. The specific focus of the Ph.D. project will be tailored to the candidate’s skills and interests and will align with the objectives of the aforementioned consortia. A key component of the work will
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three connectivity levels (none, medium, high) to test spatial dynamics of RD. Your Responsibilities Create a Personal Career Development Plan (PCDP) outlining research objectives, timelines, skill
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state-of-the-art control techniques for particle accelerators, this PhD project has a clear practical objective: to define the optimal SRF cavity control approach for the HDC upgrade of EuXFEL, currently
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on massive datasets that exceed the capabilities of single-node systems. A key objective is the development of efficient iterative algorithms for training networks based on random features, which can be
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designed to achieve the following training objectives for our doctoral candidates: 1) Equip them with core scientific skills and specialized knowledge in designing experiments for demonstrating space
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
tissue compartments, and chemical exposome landscapes. The development of computational methods is not intended as an isolated technical objective, but as a means of addressing independent biological and
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microstructures. The objective is to create a multilayer coating with a graded particle size distribution, thereby establishing the prerequisites for the subsequent deposition of a dense electrolyte layer. Planning
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— to the multifaceted aspects of peace and security in Africa. The general objectives of the PhD programme are to produce scholars/professionals in the area of Global and Area Studies critically challenging existing
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-style models. Pretraining may use self-supervised, contrastive, masked-modelling, or generative objectives. Own research ideas are strongly encouraged. Your responsibilities • Develop deep learning