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project focuses on: Integrating molecular data at various levels to build in-silico models of iron metabolism in simple and complex organisms. Utilizing large datasets generated from 'omics' studies
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for generalization in data-scarce situations, and graph neural networks to model relational and topological structures. Other methodological directions include development of customized loss functions for spatio
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at developing AI-driven solutions for complex sustainability challenges. To strengthen this area, we are now seeking a highly motivated and up-and-coming researcher for the position of Assistant Professor in
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communication skills. Other experience relevant to the third-cycle studies, e.g. professional experience. Other assessment criteria: Ability to manage and complete complex projects independently and efficiently