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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
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. Knowledge and prior use of Machine Learning and AI/deep learning for G2P or genomic epidemiology analyses will be considered an asset. Experienced user of various QA/QC tools and bioinformatics pipelines
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within AAU’s PBL project-based learning environment. Your competencies We are looking for a candidate with a PhD in Media Technology, Computer Science, Human-Computer Interaction or a related field with a
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factors. Knowledge and prior use of Machine Learning and AI/deep learning for G2P or genomic epidemiology analyses will be considered an asset. Experienced user of various QA/QC tools and bioinformatics
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engineering, system integration, electrical engineering, machine elements, robotics, sensors, mechatronics, and advanced actuator design. As associate or full professor, you are expected to contribute
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
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and other postdoctoral researchers as part of our Lundbeck Professorship grant, which you can learn more about here: https://www.cnap.hst.aau.dk/lundbeck-professorship As a postdoctoral researcher your
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environments including a stay at another research team. Obtain experience with teaching or other types of dissemination related to your PhD project. Teach and disseminate your knowledge. Prepare and submit a PhD