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protocols. Crucially, you will develop experiment-ready models that rigorously account for realistic device imperfections—bridging the gap between theory and practical implementation. Objectives Develop a
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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. The project will bridge wind farm aerodynamics, advanced control, system identification, filtering, and data-driven modelling, with a strong emphasis on combining physical knowledge with measurements rather
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 1 day ago
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
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); experience or strong affinity with incorporating domain knowledge and constraints into data-driven models (Hybrid Modelling). Knowledge & experience in food and biobased domains is a plus; proficiency in
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how listening context, device, room acoustics and cognitive effort affect understanding. Expected outcomes include a validated computational model, new datasets and experimental protocols, and practical
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of programming, software engineering and model-driven engineering Good command of English (written and spoken) Knowledge of German would be an advantage (for courses in the foundation year) Leadership and
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algorithms. Vision Language Model (VLM) experience is desirable. Qualifications A high-grade undergraduate degree (first class or upper second) in computer science or MSc in related field. Skills Knowledge
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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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19 Sep 2026 Job Information Organisation/Company Radboud University Research Field Computer science » Modelling tools Computer science » Programming Engineering » Computer engineering Engineering