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therefore expect you to have: Strong analytical and computational skills A passion for complex research and development projects Ability to work both independently and collaboratively in a dynamic research
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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(PSAI), covering probabilistic, symbolic and neuro-symbolic approaches to AI, and Data Engineering, Science, and Systems (DESS), focusing on methods and systems for managing and analysing complex data
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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
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published in international peer reviewed journals. Understanding of the atmosphere and its modelling is essential. • Model development of WRF-Chem is complex. Documented experience using FORTRAN, C
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you will take a leading scientific role in
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Candidates (DCs) of the MSCA Doctoral Network AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets . Marie Skłodowska-Curie fellowships are among the most respected and best-paid PhD positions in Europe
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broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you will take a leading scientific role in
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educational technology spaces can foster embodied and epistemic engagement with scientific practices – helping students not only understand complex concepts and procedures in the short term, but also develop
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: fluctuating renewable energy, dynamic electricity prices, and increasing system complexity. In the future, industrial energy systems will not simply run. They will understand themselves. They will learn from