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to different target groups. It is particularly meriting if you have: Experience with generative AI models, such as LLMs or speech AI. Experience with containerized and cloud-native environments. Experience with
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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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excellent knowledge of English, both spoken and written. Knowledge of Swedish is an advantage, as the current study targets Swedish dog owners and the research questionnaire is in Swedish. You are
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of ancient DNA databases for common variants in genes influencing HBGA expression, we will track their frequency changes in human populations over historical times. Integrating these findings with historical
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. The operations are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology
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Assurance Define and track key performance indicators for training activities. Monitor participant feedback and continuous improvement of the training portfolio. Assess how training contributes to AI adoption
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of the largest environments for research and education in the transport area in the Nordic countries. The operations are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail
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are conducted within the units Traffic Systems, Quantitative Logistics, Flight logistics, Rail and Public Transport, Mobile Telecommunications, Construction Logistics and Construction Technology. The research is