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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning and computer vision algorithms. Candidates are expected
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platforms and experimental pipelines for algorithm validation. Visualize simulation and experimental results to support decision-making and research findings. Contribute to: High-impact publications in top
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably Bachelor’s degree in Computer Engineering, Computer
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Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases. Responsibilities Liaise with stakeholders (E.g. participating schools
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc
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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably bachelor's degree in Computer Engineering, Computer
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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of hardware design, cryptographic algorithms, and the RISC-V instruction set architecture (ISA). You will work closely with the AES and ASCON designers in our team to ensure seamless integration and optimal
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applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools