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of TSN-based in-vehicle networks. These networks carry mixed-criticality traffic and use TSN with multiple traffic shapers and redundant communication. You will investigate methods for runtime analysis
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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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the start. Good skills in communicating technical decisions to both technical and non-technical stakeholders, both in writing and orally Experience working in agile software engineering methods and tools Your
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PhD degree (or equivalent) in Environmental Engineering, Industrial Ecology, Design for Sustainability, Circular Economy, Remanufacturing, or a closely related field Experience with developing digital
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evaluating organ histology Testing oxygen transport using a hemorrhagic shock rat model Analyzing and communicating your findings through publications and presentations Co-supervising MSc and PhD students
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biomolecules, translational research, and therapeutic development. Are independent, motivated, and excited about growing an ambitious research program. Exhibit excellent communication skills and enjoy
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environment Ability to take initiative, prioritize and work to deliverable deadlines Excellent verbal and written communication skills in English As formal qualification you must hold a PhD degree (or
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analytical skills, and a proactive and collaborative attitude. Excellent communication skills in English, both written and spoken. You should have a solid background and research experience in computer vision
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for your work and your results Flexibility and a general positive attitude to changes Motivation by both individual and team accomplishments Strong communication skills in both written and verbal English We