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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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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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qualifications PhD in molecular biology, biomedicine, biochemistry, or a related field. Experience in genomics tool. Strong analytical, organizational, and record-keeping skills. Good communication skill in
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electron microscopy, single particle cryogenic electron microscopy or X-ray crystallography. Expertise and interest in functional analysis of proteins. Motivation and strong analytical and organizational
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phenological data using camera and drone-based imagery. Use genetic analyses to assess the relationship between genetic differentiation and phenological variation. Develop and implement advanced statistical
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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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and colorimetry assays Analytical chemestry Microscopy Previous experience with Food science and nutritional science We expect that you are an efficient team worker, have good communication skills, and
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(e.g. BMC), sustainability KPIs, and decision support systems Strategic mindset and strong analytical capabilities Experience in stakeholder engagement and translating technical knowledge into practical
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within our portfolio of hypothesis-generating screening studies, a methodological portfolio where we identify signals of interest from real-world register data to guide the conduct of tailored studies. We