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experience to work on practical development of robotic systems. The researcher will be part of a research group at the Robotics, Perception and Learning (RPL) division and the group led by Prof. Danica Kragic
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higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. Detailed description of the work
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Bayesian models, and an interest in learning Hierarchical Modelling of Species Communities (HMSCs). · Fieldwork Experience: Proven ability to collect and analyze ecological data, especially in boreal
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statistical modeling techniques, particularly Bayesian models, and an interest in learning Hierarchical Modelling of Species Communities (HMSCs). · Fieldwork Experience: Proven ability to collect and
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role in advancing knowledge, driving insights into disease progression, and informing the development of gender-tailored therapeutic strategies. The principal researcher will teach and mentor Ph.D