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weeks of training in higher education teaching and learning. The work duties include: Research within the area of next-generation sequencing, bioinformatics and invertebrate visual ecology. The successful
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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to independently drive research projects, analyze and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning
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Artificial Intelligence in Higher Education, with a particular focus on STEM. Join our team at the Division of Engineering Education Research (EER), Department of Communication and Learning in Science (CLS
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by The Kempe Foundations. Project description Machine learning and artificial intelligence have had a major impact on medical image analysis in recent years. While CT and MRI provide highly
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includes the opportunity for three weeks of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity
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for three weeks of training in higher education teaching and learning. The purpose of the position is to develop independence as a researcher and to create the opportunity of further development. At ESS
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research is conducted in co-operation with other universities/institutes and/or industry. Presently, our group consists of 1 Professor, 1 permanent researcher, 5 Postdocs and 8 PhD students. About the
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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the research group, including on climate goals and advisory services in the dairy sector. Teaching students may be included in the work tasks, up to a maximum of 20% of the position. Your profile A PhD in