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and participate in the dissemination of the results through visualizations, publications and presentations. Key Skills, Experience and Qualifications Education: PhD in Bioinformatics, Computational
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years
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real or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field
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colleague? Apply now! Education • PhD in Computer Science, Telecommunications, or a closely related field. • Solid knowledge of mobile networks and 5G systems, with practical understanding of RAN optimization
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? Apply now! Education A PhD degree in Remote Sensing, Geography, Earth Science, Agriculture, Ecohydrology, Biometeorology, Hydrology, or a closely related field Experience and skills Three years
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graphs and related structures, limit theorems, stochastic calculus and applications, for example in machine learning and mathematical statistics Participation in the scientific activities of the department
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profile Research experience, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge
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Validation (Serval) research group and work on a research project related to the application of machine learning for official statistics. The subjects of the research are: AI-assisted Bond Issuance, Causal
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or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science, Telecommunications, or a closely related field. Strong background