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Field
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for complex models, causal inference and survival models, measurement uncertainty, and research for clinical trials and observational studies - and numerous collaborations with leading bio-medical research
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that requires tightly integrated approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models, with emphasis
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appreciated. -The candidate should have good knowledge in kinetic modeling; -Fluent in English; -This thesis will be embedded in the QUANTASTIC project. Thus, the Ph.D. student must also be open to other
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(HPC) systems Background in statistical mechanics, thermodynamics, and molecular modeling The candidate must be independent and fluent in English both oral and written. For further information about the
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state-of-the-art tools and AI libraries developed at the TU/e, such as GameBus and Experiencer. The collected data forms the basis for developing predictive AI models that tailor coaching content and
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looking for a full-time (100%) doctoral scholarship holder in the field of “Development of a Zebrafish Model of SMAD3-Dependent Thoracic Aortic Aneurysm for In Vivo Drug Screening”. Join us in tackling a
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have an edge between two nodes if the corresponding objects intersect. Such graphs have been used, for instance, to model sensor networks. Geometric intersections graphs are a generalization of planar
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DTU National Food Institute is seeking a Senior Researcher within the field of pesticides. The candidate must be fluent in spoken and written Danish. Responsibilities and qualifications The tasks
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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
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Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision