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, particularly sialic acids, influence and suppress immune responses against peritoneal metastases; test in patient material and in vivo models whether sialic acid inhibition reactivates the immune system; analyze
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treatments for mental illness. To this end, we bridge computational models that target various levels of analysis, including the algorithms (e.g., reinforcement learning models) and their neural
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and checked by an independent third party, and even (3) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu
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the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Netherlands Application Deadline 27 Feb 2026 - 12:30 (Europe/Amsterdam) Type of Contract To be defined Job Status
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
: Comparative Analysis - Apply multiple analytical perspectives to critically examine the collected materials. Phase 3: Model & Method Development - Map findings onto established design processes and propose a
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | about 2 months ago
, interpretation summarisation, and interactive chatbot support for defining factual states and generating tax ruling applications. The project incorporates advanced NLP models, in-context learning techniques, and
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defined gas-liquid interface apparatus and other reactors to determine stability under a range of experimental conditions. Using the experimental data to develop a model describing the effect of conditions
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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(direct and indirect pathway neurons) in mouse models of HD, and to dissect the regulatory role of m6A RNA methylation in these processes. The project will combine in vivo and in vitro approaches, advanced