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Field
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- and machine-learning-based methods that automatically describe and model geodata sources using textual metadata (NLP) and the geodata itself; contribute to a corpus of geo-analytical scenarios with
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preferably with data analysis and machine learning (e.g., Python, AI frameworks). You have strong analytical and problem-solving skills, with the ability to translate complex clinical processes into structured
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Learning. Work closely with the other PhDs and researchers on the project towards reaching the overall research goal. Contribute to educational activities (e.g. provide lectures, assist teachers, supervise
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driving systems, and new methods for fusing sound with other sensor data for more robust environment perception through deep learning. We offer a fully-funded 4-year PhD position at the Intelligent Vehicles
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the following PhD project within its MKT research programme at ERIM: · PhD in Consumer Behavior · PhD in Quantitative Marketing · PhD in Fair Machine Learning in Marketing Other fully
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate with
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Vacancies PhD position Social dynamics of energy communities in the Dutch energy transition Key takeaways Social dynamics shape behaviours that can accelerate or hinder the Dutch energy transition
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repaired, reused, or discarded requires sophisticated condition assessment and decision-making capabilities. This PhD project tackles a critical challenge: how to develop robust machine learning models
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://www.universiteitleiden.nl/en/science/mathematics . What you bring The successful candidate is expected to have: A master in statistics, (applied) mathematics, machine learning or a closely-related quantitive discipline (to
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FPGAs, CGRAs, and many Machine Learning accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs/GPUs. Yet, porting and optimizing code