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, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
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regular project meetings and collaborate closely with other members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working
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. The position 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
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stimulating environment that promotes your development as a researcher and enables collaborations with others who share your passion for the fascinating field of mathematics. Subject description This project
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. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
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of time-resolved electrochemistry. Your main work tasks will be to: Interact with and support user groups at the HIPPIE beamline (including on-call work) Collaborate with users wishing to use
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: The first project, Dual Control at Scale: Learning-based control for systems with millions of states, is funded by an ERC Advanced Grant, a prestigious international grant aimed to give long term support for
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. On the international level we collaborate with universities and institutes in Europe, Asia, and North America. More information about the Division of Heat Transfer can be found here . Subject and project description
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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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. The workplace fosters strong international collaboration, with close integration with the Halberg Group at Copenhagen University (Insect neuroendocrinology and physiology) and the Collin Group (immune-relevant