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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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]. Reduced Order Modeling (ROM) and Data Assimilation (DA) are key tools for designing efficient monitoring solutions. In preparation for an upcoming ANR-funded project starting in 2026, we aim to develop a
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collaborators to ensure that model development aligns with data quality, measurement conditions, and evolving research priorities. The SDL operates as a closed-loop system in which each experiment informs
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of Materials Systems Modeling of the Helmholtz-Zentrum Hereon is offering a 3-year Postdoc position, starting on 1st February 2026. In project Computational modeling of Blue Materials from the atomic scale
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thinking and systems analysis. Good understanding of ecosphere-technosphere interactions with focus on carbon and greenhouse gases. Experience in quantitative modelling and data analysis. Experience with
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interests are interdisciplinary modeling (ideally using economic production theory, more specifically Data Envelopment Analysis, system dynamics modeling/agent-based modeling, and/or Artificial Intelligence
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Rotterdam offers two fully funded PhD positions to study the aging brain through innovative cognitive neuroscience experiments and AI-based methods. Job description The Brain & Cognition Team at Erasmus
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model complex brain data. The ideal applicant will have expertise in either systems neuroscience or NeuroAI/machine learning, particularly in analysis of large-scale neural data. The group places a strong
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in CO2 emissions through implementation of sustainable heat storage solutions. A PhD position in the Laboratory of Physical Chemistry (SPC) of Eindhoven University of Technology is now available with
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multimodal data, ultimately uniting rigorous machine learning foundations with biological discovery. Project details This PhD project will contribute to the development of generative models for multimodal data