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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
Developing computational framework for 3D shape modeling towards biological insights Developing AI-based representation learning framework for data-driven cell modeling Report findings and methods in
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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signaling concepts We will develop artificial cells that sense disease-relevant signals and generate regulated outputs, with a long-term focus on adaptive responses in tumor-microenvironment models and
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aiD, one of Norway’s national AI research centers focused on trustworthy, data-driven AI systems for critical industries. The PhD position is for a period of 3 years, with a desired start date of 1st of
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“Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies. The project aims to develop a
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data-driven learning and which should remain within structured optimization. In line with AID’s research areas, the project will emphasize knowledge embedding, uncertainty representation, risk-aware
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empirical approaches to understand how AI-driven technological change reshapes the structure and resilience of labour markets by combining large-scale vacancy data with modern natural language processing
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is decentralized or only partially observable? Depending on the research direction, you may employ techniques from mathematical modelling, machine learning, uncertainty quantification, distributed
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full-time, internal student (unless approval for part-time and/or external study is obtained). You must commence your degree by September 2026. Within the program of research on Climate-Driven Biofilm