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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 | 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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(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
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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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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 7 hours ago
approach combining molecular biology, genetics, genomics, epigenomics, metabolomics, biochemistry, biophysics and microscopy with bioinformatics and modelling. We work with Arabidopsis thaliana, tobacco
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. The selected candidate will pursue a PhD focused on the MAGNETO project: Magnetic Hyperthermia Studies Using Bioengineered Models of Pediatric Cancer. Main tasks and responsibilities: Design, develop, and
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for machine learning models to optimise membrane properties, structure, and fabrication. The fellow will play a key role in the experimental part of the project, including: Preparation and characterisation
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research group (please find further information at https://www.biologie.uni-konstanz.de/gruber ). You will be developing machine learning-based data science approaches for the analysis of Next Generation
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multidisciplinary team of combustion scientists, engine engineers, and modeling experts. Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's