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institutional regulations. Project background Understanding human motivation requires methods that go beyond questionnaires and simplified computer-based tasks. This project aims to develop more naturalistic, yet
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Intelligence in Molecular Medicine (AIMM) Lab, led by Prof. Charlotte Bunne at EPFL, sits at the interface of computer science and the life sciences, affiliated with both the School of Computer and
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School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. As part of an industry collaboration with Novartis, the lab is opening a postdoctoral position
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab ( https
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physics, engineering, computer science, or a related field. Strong scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D
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facilities around the world. Profile We are looking for a person with: PhD in physics, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods
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in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS, GDAL) and
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research; Experience with quantitative data analysis and proficiency in one or more programming or scientific computing environments, such as Python, R, or MATLAB; A strong publication record appropriate to
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photonics in a young and dynamic team. Excellent infrastructure through the cleanroom at EPFL, the Lausanne center for ultrafast science, and the Quantum Science Center at EPFL. Competitive salary
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verified formally. You will publish and present your work internationally. You are the ideal candidate if You hold a PhD in mathematics, computer science or a related field You have a strong background in