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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi
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elaborated an algorithm for identification of cancer specific T cells, which selectively kill autologous tumour but not healthy lung tissue. Simultaneously, we have developed the method for identification and
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category: The type of scholarship to be awarded is: Degree courses: Research grants (BI) are intended for I&D activities by masters enrolled in a PhD. Requirement for granting the fellowship: The applicants
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Researcher (R1) Positions PhD Positions Application Deadline 17 Aug 2026 - 17:00 (Europe/Amsterdam) Country Netherlands Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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applications for a Postdoctoral Fellow to join an international research team on the Marsden Fund project Scalable Bayesian Algorithms for Multi-Physics Inverse Problems with High-Level Representations
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at least one of the following fields: approximation of neural networks, convergence of Langevin/MC sampling, analysis and algorithm design of interacting particle systems, operator learning, regularity
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, dexterous, capable, and adapt better to their environment. The lab has showcased its research in robotic design and algorithms through real-world applications such as a robotic fish for underwater locomotion
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contribute to set the foundation of its research. Co-supervise PhD candidates working on related research activities. Contribute to social activities in the group, enjoying your time in the vibrant city of
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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-guided design-build-test-learn workflows, and open algorithms, benchmarks and reproducible research. This is an exciting opportunity to help shape a frontier AI for Biology programme, publish high-impact