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Field
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applications for a PhD candidate focusing on the use of natural language processing (NLP) methods to advance climate impact research. The overarching goal is to develop a benchmark dataset on the socioeconomic
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. Current XAI methods are often generic and overlook industrial realities. This project will embed user-centric explanations directly into machine learning workflows using structured, ontology-driven
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symposium Advanced methods and specialised training Transferable skills and career development Other curricular activities including an IMPRS-ML retreat In addition to the curricular activities organised by
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. Randomized controlled trials (RCTs) underpin regulatory and clinical decision-making in healthcare, yet they are primarily designed to estimate average treatment effects within selected samples. This raises
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, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
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-generation into medical device software development processes. You will be trained to carry out research that combines software engineering, formal methods, and safety assurance. You are not expected to have
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-disciplinary and cross-cultural cooperation. The research revolves around four topic areas: Business models, decision processes and economic analyses Holistic interdisciplinary methods for modelling, analysis
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 3 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · research and development of methods for acceleration of parallel applications in the High Performance
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periods, they must constantly understand their surroundings to make smart decisions and complete tasks, such as moving safely without collisions or handling objects. Recent methods for robotic situational
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within the project AI4TECSWriting a doctoral dissertation in computer sciencePublishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and