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-efficient built environment is extremely demanding. Most of that responsibility is put on the construction industry. This sector is the driving force for new constructions, but also the maintenance
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machine unlearning. Machine unlearning strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct
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the position The position provides you with the opportunity to pursue PhD studies in Computing Science for four years, with the goal of achieving the degree of Doctor in Computing Science. While
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/projects/ai-power-and-politics/ ). The candidate will analyse how AI-driven technologies reshape opinion dynamics and the public’s trust in media ecosystems. Central to this PhD project is a critical inquiry
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functionalities. The research aims to expand the capabilities of organic electronic devices by integrating light-responsive and multi-modal operation. The tasks will include: Exploring new doping strategies
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responsibility for your own tasks and drive them forward with energy and engagement. You are loyal to the goals of both the organisation as a whole and its values, as well as the project funding the PhD position
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response. Within the research group, we value a good work environment based on respect and care in our interactions with one another. We continuously work to create conditions for job satisfaction
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species like birds and bats. Combining PAM with occupancy modeling allows for large-scale ecological studies, assessing both individual species and community responses to environmental changes. In this 4
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areas in close collaboration with regional industry. Further information Associate professor Eva Bengtsson, e-mail: eva.bengtsson@mau.se , phone: +46 40 6658180. For general questions regarding employment
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Deadline: 2025/11/03 11:59PM (posted 2025/10/01, listed until 2025/11/03) Position Description: Apply Position Description The Department of Mathematics at Stockholm University has with its long tradition