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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms
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of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 21 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
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algorithms for asthma. The methods to be employed will include cell culture, transcriptomics, proteomics, multiplex assays, flow cytometry, and machine learning. This project combines expertise in cell biology
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/Electromagnetics theory, design and simulations Machinelearning mathematics and algorithms Numerical methods Programming skills (Python, MATLAB, or similar) Strong analytical and problem-solving skills. Good written
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 23 days ago
novel algorithms for visual data analysis, · work with real/synthetic datasets and design data processing pipelines, · integrate the developed algorithms into a comprehensive, functional software
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science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
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Department Harris School Bike Shop About the Department The Bike Shop seeks to solve society’s most pressing challenges by designing and scaling advanced algorithms—particularly AI—that enhance
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a focus. Traditionally, this is done through iterative algorithms (‘trial and error’). In this project, we aim to develop a radically different approach where the correct shape is computed using a 3-D