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such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory of programming, learning theory, parallel algorithms or quantum computing Research
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both theoretical challenges and practical applications. Key Responsibilities: Develop innovative methods and tools for adaptive, AI-driven embedded algorithms to support real-time analytics and decision
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and/or experience in one or several of the following areas: Good understanding of the different ML algorithms and architectures Good knowledge in statistics and stochastic models Knowledge in
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reliable algorithms for estimating the aforementioned parameters on a global scale will enable the implementation of operational services in precision agriculture and forest management. This PhD project will
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application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial peptides Perform and support experimental studies across the METAMIC project