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Are you passionate about transforming cutting-edge science into compelling stories that inspire action and understanding? Do you enjoy communicating complex research in ways that engage scientists
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for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for multicomponent inorganic energy
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whose work may center on one or more of the following disciplines: Developing a mechanistic understanding of interactions of food macromolecules in complex matrices during processing or formulation
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organometallic chemistry and the synthesis of organometallic complexes. The candidate must be with the technologies for plastic recycling. The candidate must have good communication skills and experience in
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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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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 two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
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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