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of Geodesy and Earth Observation (GEO). In this position, you will develop algorithms and methods aimed at improving GNSS position integrity and mitigate/reduce both natural and intentional signal interference
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to apply Website https://t.ly/I3glk Requirements Research FieldBiological sciencesEducation LevelUndergraduate Research FieldComputer scienceEducation LevelUndergraduate Research FieldEngineeringEducation
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to algorithmic decision-making in transport, welfare, policing, and urban planning – exposes the deeply sociotechnical nature of contemporary urban governance. In response to growing concerns about discrimination
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and EU-funded research projects, and has extensive know-how in 5G/6G communication platforms, IoT platforms, and Demand Response algorithms for the Smart Grid. IQU is also active in many EU-funded
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, epidemiological data and outcome modelling using AI-assisted algorithms, as well as multi-modal data integrations. An established data infrastructure with expertise and computational pipelines for these analyses
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security, and prevention of adversarial attacks. Data Science: Strong understanding of data structures, algorithms, statistical analysis, and data visualization techniques relevant to AI applications. KEY
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optimization methods: exact methods (MIP/MILP using PuLP) and heuristics (e.g., genetic algorithms) * Solid understanding of statistics, probability theory, data exploration, dimensionality reduction, classical
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/08/2025 END: 31/12/2029 Centre of Principal Researcher: Faculty of Computer Science. Álvaro Leitao Rodríguez PURPOSE OF CONTRACT: Advanced Deep Learning algorithms for solving PDEs and SDEs in finance
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predict food-effector systems. Key Responsibilities • Develop graph-based (multi-)omics analysis algorithms • Benchmark graph-theoretic against graph-ML approaches • Analysis of food-related (multi-)omics
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management