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journals such as S&P, USENIX, SIGMOD, VLDB, NeurIPS, ICML, AAAI, or ICLR. Job Requirements: Master’s degree in computer science, computer engineering, mathematics, statistics, or a related discipline with a
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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. Bachelor of Science in Chemistry Advanced knowledge of bioinformatics tools and packages, including experience in processing and analysing high-throughput sequencing data. Highly proficient in R, Python, and
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surfaces (RIS) and associated signal processing for terahertz communication links. The project aims to develop advanced RIS, corresponding channel models, and efficient signal processing algorithms
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collection process for both qualitative (e.g. interviews, focus group sessions) and quantitative (e.g. experiments, surveys) studies Analyze data for various projects using tools such as SPSS, R, and/or
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to optimize training and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer
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Computer Science/Aerospace Engineering/Operation Research or equivalent Experience in programming: excellent knowledge of Python Programming Languages Demonstrated project experience related to mathematical
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training and inference processes Conduct experiments to compare with comprehensive baselines and validate results Job Requirements: Preferably Master or Bachelor’s degree in computer engineering, Computer
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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Battery Analytics”. The candidate is expected to take the following responsibilities. Key Responsibilities: Developing physics-based and data-driven models to characterize battery electrochemical process