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mathematics, computational neuroscience, robotics, physics or a closely related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology
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of Particle Accelerator Physics ( LPAP ) is seeking a Postdoctoral Researcher to join our interdisciplinary team focused on developing a robust optics configuration and beam-beam collision scheme for
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detect reliable traces of life (biosignatures) – whether through remote sensing or direct onsite measurements – requires significant innovation. These challenges demand close collaboration across physics
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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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statistical and computational analyses. This position is part of a broader two-position recruitment linked to the same SNSF-funded project. The call is for the position focused on multimodal sensing
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complex environments. Specifically, we are looking for Postdoctoral scientists to perform microscopy-based neural recordings in behaving flies, computational analysis, and, if interested
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mass-balance approaches to more advanced computational models; and Related topics in indoor air quality, aerosol science, exposure science, and healthy buildings. Projects may combine controlled
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Musicology Lab, EPFL Lausanne Mission Profil PhD (or nearing completion of) in …. Background in…. Research experience in ... Strong computational and analytical skills… Experimental skills and