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methods to predict these needs individually at the time of stroke diagnosis. This PhD project aims to develop predictive models based on artificial intelligence (AI) that estimate a patient’s brain health
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throughout the doctoral education. Research topic Stroke patients have very different needs for follow-up after hospitalization. Currently, there are no reliable methods to predict these needs individually
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University of Pisa. The PhD Fellow will be affiliated with the Computer Networks Research Group (ComNet) at the department. The proposed PhD project aims to advance the field of 6G vehicular networks by
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performance, and develop methods for estimating seabird quality using methods linking e-DNA of diet and breeding performance.The study relies heavily on already existing data, but will also include collection
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in Norway. As a university laboratory we have a strong focus on research and education. Our research projects focus on improving and implementing new molecular methods applied in forensic analysis case
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. The PhD Fellow will be affiliated with the Computer Networks Research Group (ComNet) at the department. The proposed PhD project aims to advance the field of 6G vehicular networks by harnessing the AI
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. The SwoP (Impact of switched voltage waveforms on power components and grids) project will develop methods to measure, characterize and predict the increased stresses and accelerated degradation on power
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, the candidate will work to develop robust cyber-defense solutions for critical infrastructure protection. Required qualifications Master’s degree in cybersecurity engineering, computer and control systems
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and lead to premature breakdown. The SwoP (Impact of switched voltage waveforms on power components and grids) project will develop methods to measure, characterize and predict the increased stresses
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a research fellow (PhD position) in data analysis and development of statistical methods in epidemiology and genetic epidemiology for a period of 3 years with a possible extension to 4 years. Western