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performance of remanufacturing processes by providing data-driven material assessments and validation techniques. Responsibilities and qualifications You will join the Section of Materials and Surface
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90 academic staff members and 40 PhD students, we offer a lively and ambitious research and teaching environment. The research carried out at the department not only covers a variety of political
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landmark database on university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena
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parameters as well as downstream requirements. Maintain detailed records of experimental data, process conditions, and system modifications to support scale-up and system integration. Publish scientific
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..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems
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, Aalborg University and TU Delft, including microbiologists, process engineers, biopolymer and formulation specialists, and analytical chemists. A background within glycobiology, carbohydrate chemistry and
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interest A PhD in Biomedicine, Immunology, or a related field Expertise in flow cytometry and cellular biology Experience with in vivo mouse models Strong analytical and problem-solving skills Excellent
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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applicants regardless of their personal background. Qualifications and the selection process Applicants for this position must hold a PhD degree (or equivalent level of education) in bioinformatics, data
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participation in national and international conferences is integral to the job. Furthermore, participation in supervising BEng, BSc, and MSc students is expected. As a formal qualification, you must hold a PhD