12 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Imagine Institute" Postdoctoral positions at EPFL
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characterization and process-evaluation methods for end-of-life PV modules, assessing recovery yield, purity, energy consumption, environmental impact, scalability and economic relevance. You will plan and conduct
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well as an engaging program of cultural, sports and community activities throughout the year. Read about our employment conditions and employee benefits If you are interested Submit your application containing CV
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-term sustainability and the local appropriation of the DOUV. Integrate the data produced by WP1, WP2 and WP3 into the tool; programme the automatic ingestion of Sentinel-2 imagery and the recalibration
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part of a collaborative team to plan and execute experiments Maintain knowledge of published developments in research field and recommend alternative strategies Plan and organize workload to meet project
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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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. Proficiency in programming and statistics/data science. A genuine passion for music and a solid understanding of music. Fluent English and a collaborative team spirit. We offer World-Class Research: EPFL is a
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning frameworks. Experience with large-scale model training, distributed