12 program-coordinator-"https:"-"https:" Postdoctoral positions at EPFL in Switzerland
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national and European R&D projects, supervision of students and junior researchers, and coordination of activities with the PV-Lab's industrial and academic partners. The position will be based at EPFL PV
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scientific coordination for the geospatial, modelling and digital observatory components of the project (WP4). Research Focus How can verticalisation and its environmental consequences be measured, modelled
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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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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