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application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through scaling model sizes, training budgets
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a PhD student, you will explore: how firms use specialized AI to strengthen their competitive position how new offerings and business models emerge how value creation and collaboration in ecosystems
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and tectonic significance of these inferred basement structures remain insufficiently constrained. The overall objective of this PhD project is to test and refine existing structural models by
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structures remain insufficiently constrained. The overall objective of this PhD project is to test and refine existing structural models by explicitly incorporating the Archaean basement into a time
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equations. Your main research assignments will be to develop new models and methods for generative sampling and Bayesian inference. You will be jointly supervised by Assistant Prof. Zheng Zhao (https
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We are seeking a PhD candidate to join our team in the development of next-generation bioelectronic platforms to study implant interfaces and modulation of the brain tissue microenvironment
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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on
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. The department has a yearly turnover of around SEK 550 million, out of which about two thirds derive from external funding. IGP has approximately 400 employees, out of which 100 are PhD-students, and there are in
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monitoring and other disease-preventive measures, such as vaccination and breeding for increased resilience. The PhD student will specifically: Coordinate the development of a conceptual model for biosecurity
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Sciences at Uppsala University, with its approximately 100 co-workers. We conduct extensive PhD education and have about 30 PhD students. The research schools MIT, GRASS, Nord-IB and FIRE are connected