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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) is a biomedical research center in the UNESCO-world heritage city of Regensburg. Our objective is to
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of new algorithms based on statistical analysis for the detection of bursts in water distribution
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, Java, etc. Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis Knowledge of professional software engineering practices, including coding
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); Computer science foundations (Software Engineering, Algorithms); data science and data analysis (Data Science in the Wild, Causal Inference), or urban computing and design. Candidates for the position should hold a
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Constitutive PINN algorithms for damage and fracture 2) Months 7-12 A fully functional software for 3D fracture, with all the physical features such as branching, coalescence should exist and the International
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic
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an inclusive and welcoming educational and work environment. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse
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systems. However, when dynamics are complex, nonlinear and partially unknown, such a model is typically obtained from observations by performing system identification. Typical identification algorithms