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Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data — interdisciplinary impact, real-world healthcare. About the role We
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application! We are seeking a highly motivated PhD student to join a research project at the forefront of battery diagnostics and modelling, that will help shape the future of battery technology by developing
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and time. In this project we will model the ionosphere-ground system with a unique time-domain model which is developed in the group for ’Solar-Terrestrial Physics and Space Weather’ at the Department
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and time. In this project we will model the ionosphere-ground system with a unique time-domain model which is developed in the group for ’Solar-Terrestrial Physics and Space Weather’ at the Department
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in large language models for healthcare research, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable
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, better adapted individuals can be selected at the seedling stage using only genetic data, accelerating the breeding cycle. Incorporating information about plasticity can aid genomic prediction modeling
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and breakup mechanisms Ice–ocean interaction and basal melting dynamics Integrated observational and modelling approaches to ice-shelf processes The doctoral student is expected to: Develop research
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datasets (e.g. ground-based radar measurements and weather station data) Contribute to the development and application of numerical models Assess uncertainties for future sea-level projections Publish
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preparation, development and verification of models and generalization of solutions. Your background For this position, you are required to have a PhD in electronics, metrology, computer engineering or a
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relevant not only for the organizations developing, training, or optimizing AI models, but in particular for users of the software products that inform and impact the policies that will regulate the AI