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. The Forest Resources and Forest Management Research Unit is committed to recording, analysing, evaluating and predicting the development of forest resources. The aim is to improve the understanding
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machine learning models, and develop a generalizable decision-support system for vehicle and station allocations. This research will be conducted together with domain experts and collaborators. The research
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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at the undergraduate and graduate levels. The EPFL environment is multilingual and multicultural. EPFL offers internationally competitive salaries, generous research support, significant start-up resources
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salaries, start-up resources, and benefits are offered. Applications should include a cover letter with a statement of motivation, curriculum vitae, list of publications and patents, concise statements
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efficient planning, cost control, and strategic use of resources Provide structure, guidance, and counsel for events throughout the year by defining processes, standards, and best practices for the entire
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. EPFL offers internationally competitive salaries, generous research support, significant start-up resources, an outstanding research infrastructure, and close ties to the Swiss Federal government as
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we seek to enhance resources for student learning on statistics and machine learning applied to these topics. Project background We would like to develop learning exercises that help students learn how
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methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be supervised by Prof. Dr. Roger
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another Swiss national language (French or German). Please send your complete application to Michèle Bucher, Human Resources WSL, by uploading the requested documents through our webpage. Applications via