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- AALTO UNIVERSITY
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journals of the highest international standard. In addition, you will liaise with colleagues across the Cambridge Finance community, attend weekly CERF meetings and regular seminars and build a network of
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journals of the highest international standard. In addition, you will liaise with colleagues across the Cambridge Finance community, attend weekly CERF meetings and regular seminars and build a network of
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diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . Further Information: This is a full-time and a fixed term
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development through training courses and participation in working groups and networks. We also encourage our staff to seek mentoring outside their direct line management. Mentoring, both via formal and informal
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theory and real-world applications, supporting the UK’s transition towards a renewable, inverter-based power system. The project is funded by Scottish and Southern Electricity Networks (SSEN) and you will
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real-world applications, supporting the UK’s transition towards a renewable, inverter-based power system. The project is funded by Scottish and Southern Electricity Networks (SSEN) and you will work
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on shopping, eating out and travel. A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | about 2 months ago
communication skills with experience in presenting research, writing study protocols, and drafting strategic papers and manuscripts for publication. Actively build and maintain a network of colleagues and
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. Your network and team The Doctoral Researcher will be based in Department of Applied Physics, Aalto University at the SMW group. SMW is a multidisciplinary team studying functional soft materials and
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural