25 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions at AALTO UNIVERSITY
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from all backgrounds to join our community. In the Department of Information and Communications Engineering, we are seeking for a Master’s Thesis Worker. This thesis will focus on cellular network
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for different tasks Good programming skills - you are required to provide a sample of your code during the recruitment process Strong interest and motivation in improving the sustainability of networked systems
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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-reviewed journals. Generating and documenting code and datasets. Collaborating with international experts, both computational and experimental. Fulfilling the requirement of the Doctoral Programme in
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an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process while focusing on interesting computational problems and
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Collection – Conduct in-depth interviews and organizational observations to gather high-quality qualitative data. Data Analysis – Use ATLAS.ti or similar tools to code and analyze data, generating theoretical
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and intetnational collaborators Possibly carry out design, experiments, and/or data analysis on a specific research topic that you wish to personally pursue Your network and team You will work in the
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theses Create reporting data and provide it for tracking progress Work together with our national and international collaborators Your network and team You will work in the QCD group as a Postdoctoral
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networks and enhance stakeholder collaboration for domestic academic visibility. Proficiency in English; good command in Finnish is seen as a merit. Your Vision and Academic Commitment: Supportive
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also highly valued. Requirements Successful candidates have a master’s degree in Physics, Chemistry, Computer Science or related disciplines. Knowledge of machine learning (image, graph network