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, bibliographies, cartography, and remote sensing data, and analysing these in comparison with newly collected field data. Producing databases, reports, drawings, maps, and digital models of landscapes and
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, investment, wage-setting, and the transmission of policy. While traditional models provide a strong foundation, growing evidence suggests that real-world expectation formation is shaped by informational
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investigates diagnostics and treatment for patients with an acute cerebral infarction or cerebral haemorrhage. This vacancy focuses on developing organisational models for acute neurovascular disorders
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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cycles to continuously improve models via active learning and guide evolutionary trajectories toward promising but otherwise inaccessible sequence spaces. You will be embedded in one of the three research
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work towards building thorough and encompassing theoretical models that present relevant empirical implications. This PhD project offers a unique opportunity to work in an international environment in
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conditions pose challenges to ensuring the safe quality of AM parts and affect their strength and consistency. The main objective of this PhD position is to address these issues by developing an advanced