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strategies to address them within the scope of the project Develop new agentic AI methods for the autonomous configuration and deployment of 6G core functions in the edge-cloud continuum Design, develop, and
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, prognosis, and subphenotyping. Contributing to study design, choice of analytical methods, and methodological development. Visual presentation of analyses and results, as well as writing scientific
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patterns of genomic sequences, with applications ranging from biogeographical mapping to paleogenetic reconstructions. The candidate will work jointly with Dr. Eran Elhaik to design machine-learning models
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. The Department of Computer Science and Informatics provides academic programmes in subjects ranging from software engineering and embedded systems to user experience design and cybersecurity, and is also
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems
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restricted to, the following: Planning of experiments, including construction of design of experiments’ matrix to investigate effect of various spray process variables and finalizing specimen geometries
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academia. Good planning skills and ability to take personal responsibility. Creative thinking and ability to design projects. A positive and driven personality. Terms of employment This is a full-time, fixed
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involve, but not be restricted to, the following: Planning of experiments, including construction of design of experiments’ matrices to investigate effect of various spray process variables and finalizing
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for the autonomous configuration and deployment of 6G core functions in the edge-cloud continuum Design, develop, and use digital twin environments and validation tests to ensure correctness and reproducibility
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self-driven with excellent problem-solving skills, ready to tackle complex challenges. Driven and Creative: Passionate about innovation and able to think outside the box. Detail-Oriented: Strong