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for computational biology and a track record of excellence in graph machine learning and multi-omics data integration? Look no further – an exciting Postdoc opportunity awaits you at the Novo Nordisk
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ground. You will be required to bridge different disciplines and contribute to broadening understanding of heterogeneity in healthy and malignant biological systems. For this reason, a multi-disciplinary
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proven track record of research publications. Proven ability to conduct independent research Effective communication and mentoring skills. A commitment to diversity and inclusion in the workplace
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have a solid background in at least two of the following areas: Computer vision for object detection and/or semantic segmentation Anomaly Detection Efficient multi-modal perception Foundation models
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CO2 capture from the atmosphere. Your objectives will include to: Develop new optimization and/or machine-learning based reconstruction and segmentation algorithms to improve image quality in time
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and clay minerals Multi-scale characterization of cementitious materials using e.g., SEM, TEM, XRD, X-ray CT, NMR, rheology, and multiscale mechanical testing. Thermodynamic modelling. Life cycle
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. A solid publication track record in the relevant field of expertise. Experience with thermal image analysis is an advantage. Experience with hardware such as drones and cameras are an advantage. Good
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carbohydrate chemistry. An interest in chemical biology and a desire to work in an interdisciplinary environment. A documented track record in the synthesis of complex oligosaccharides is an advantage
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous
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, e.g., demonstrated by a track-record of high-impact publications Previous work in inverse design / topology optimization We offer DTU is a leading technical university globally recognized