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infrastructure. The research will combine advanced finite element simulations, blast loading models and fluid–structure interaction analyses to establish methods for assessing the protective capacity of existing
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willing to acquire this. You have a good knowledge of cell biology, molecular oncology, signal transduction, and immunology. You have experience with or an interest in 3D-cell culture models, patient
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Programme in Electrical Engineering Contribute to teaching duties as part of your doctoral studies Your Network and Team Currently, our research group consists of 1 professor, 3 PhD students, and several MSc
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applicable regulations. Applicants must hold Bachelor's and Master's degrees and be currently enrolled in a PhD programme. Candidates should have experience as a Research Assistant or PhD student, together
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regulations. Applicants must hold Bachelor's and Master's degrees and be currently enrolled in a PhD programme. Candidates should have experience as a Research Assistant or PhD student, together with at least
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-reviewed academic journals. Collects data and conducts statistical analysis. Conducts literature reviews and perform research. Leads system architecture decisions, model selection, and fine-tuning strategies
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simulation and modelling tools. Behavioural competencies Research - Results orientation (Level 2) Research - Self-knowing and self-development (Level 1) Research - Teamwork (Level 2) Research - Communication
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research within and beyond academia. The PhD candidate will contribute to furthering the development of key ecological impact models within the field of life cycle assessment. IndEcol is a pioneer in the
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience
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aspects related to different remediation options. The current call comprises two doctoral positions with complementary focuses. One position focuses on developing and applying a generic methodology for