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are focused drivers and enablers in our work. Our goal is to perform high quality research and education at bachelor, master and doctoral levels. The postdoc is expected to conduct high-quality research in a
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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. Additional requirements: The doctoral degree should be in one of the following
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position. The certificate proving the qualification requirement is met, must be received before
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detecting fraud – but other sample types will also be studied, and the successful applicant will contribute to shaping the research direction. The applicant will work closely with wet and dry-lab researchers
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intent to generate practical insights and solutions—particularly for startups or small- and medium-sized enterprises (SMEs). Main responsibilities Your major responsibility as postdoc is to perform your
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, within the subject of the position, completed no more than three years before the date of employment decision. Under special circumstances, the doctoral degree can have been completed earlier. Special
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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collaborative atmosphere. Excellent knowledge of English is a requirement (at least C1 level in reading, writing, and listening). If you apply from outside Europe and are not a native English speaker, a