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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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circularity in complex aerospace systems. Via Model Based Systems Engineering (MBSE) we think that it would be possible to successfully predict the effects of proposed design changes on circularity and
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potential for neural therapies. The successful candidate will have strong problem-solving skills, be able to work effectively in a multi-disciplinary and international team and have excellent communication
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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communication skills, both written and oral, to effectively share research findings with academic and non-academic audiences. Ability to work effectively in interdisciplinary teams, contributing positively
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interact with to facilitate the research process and increase the synergetic effects. You will also have the opportunity to meet other KIRI postdocs, present your work at scientific events, and take part in
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the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent. We welcome applicants with different backgrounds
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, attention to detail, effective communication, problem-solving mindset, eager to take initiatives, and team-oriented attitude. About us The Department of Forest Biomaterials and Technology (SBT) is part of
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of functional assays in insect and bacterial systems to evaluate targeting, delivery, and physiological effects This project is hosted at the Faculty of Medicine, Lund University in the Department of Experimental