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or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read
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or higher education institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read
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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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of teaching and learning (methods and models) as well as its actors (teachers and pupils/children) and their relationships. The research school is linked to a training environment for teacher education, where
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educational contexts, and how content is legitimised. Furthermore, scientific didactics investigates the forms of teaching and learning (methods and models) as well as its actors (teachers and pupils/children
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qualifications and merits for the position are: • Knowledge and experience on image processing or computer vision • Knowledge and experience on generative AI • Knowledge of data driven methods for modelling and
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for carbohydrate, lipid or protein analyses. Skills in computational biology or biological modelling. Experience working with cell walls from plants or other organisms. Be proactive and take own initiative