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traditional tools. This project introduces ML methods in the traditional CFD framework to speed up the turn-around computational time and scalability of the SIMPLE algorithm. The objectives to achieve
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computational time and scalability of the SIMPLE algorithm. The objectives to achieve within this project are: The solution of the pressure Poisson equation will be attempted using matrix solvers
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sequence analysis, especially pertaining to splicing and structural variant detection from RNA. Other responsibilities will include independent algorithm development for long-read sequencing methods
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sequence analysis, especially pertaining to splicing and structural variant detection from RNA. Other responsibilities will include independent algorithm development for long-read sequencing methods
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on the Development and validation of a synthetic data generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data
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question; - Acquire foundational knowledge in underwater vehicle navigation and control; - Develop practical skills in algorithm modeling, simulation, and implementation; - Contribute to R&D activities
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algorithms involving distance-based operators; 2. Selection of a target problem and algorithm(s); 3. Development of models and optimisation algorithms for the selected problem, including the implementation
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and optical data accurately and efficiently; develop and validate an astrodynamics-based orbit determination algorithm using TFC, including hybrid solutions with stochastic filters (eg, EKF or UKF