14 programming-"https:"-"https:"-"https:"-"CSIC"-"IDAEA-CSIC" Postdoctoral positions in Switzerland
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This position is funded through the University of Basel's Stay on Track program, which aims to support female postdoctoral researchers returning to work after maternity leave. Starting on: 01/09
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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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, neuroscience, cancer biology, single-cell genomics, and advanced imaging. The project will be embedded in a dynamic research programme aiming to uncover how peripheral neurons shape immune responses and to
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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