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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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. 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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of training in 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. Your work duties will
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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us You will be part of the Division for Language and Communication at the Department of Communication and Learning in Science, and a member of our graduate school Communication and Learning in STEM
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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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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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has never been more relevant. The department has a stimulating and international environment consisting of PhD students, postdocs and teachers coming from all corners of the world. Research and teaching
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of field installations - Contribute to supervision, teaching, and research proposals Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration