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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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, 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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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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-funding from industry and academic partners. You can read more about NICE on https://www.ntnu.edu/nice. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research
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N_IHA-Administration Part Time 88035BR Job Summary Uses skills as a bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and
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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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Reference Number AE2026-0030 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0030.pdf CALL FOR