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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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of algorithms, data models, and interfaces. Research and selection of the tools and technologies to be used. • Initial development and prototyping: Start of development of the core components of the malicious
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. • Design and specification: Definition of the detailed architecture of the modules associated with the detection of malicious activities. Specification of algorithms, data models, and interfaces. Research
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics
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to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be implemented and integrated into the platform.; Implementation
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2027 for 19,5 hours per week. The research associate will be working in project “AGEAI: Ageism in AI: new forms of age discrimination and exclusion in the era of algorithms and artificial intelligence
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of precipitation and temperature over Morocco. Key Responsibilities: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation
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algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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transport calculations and programming. Expertise in quantum transport and using machine learning algorithms for first principle calculations will be distinct advantage. You should be able to work