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Field
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LTS2 Lab https://lts2.epfl.ch offers a highly motivating, interdisciplinary scientific environment with many opportunities to interact between different projects and researchers, and has an
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salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic
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behavior, computational methods, etc.) is a plus. Candidates from non-neuroscience fields but with a keen interest in understanding the brain (e.g., physics, artificial intelligence, engineering
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methods for extracting information about ionospheric dynamics from ground-based magnetic measurements. At DTU Space, you will combine observations, computational modelling, and inverse methods to improve
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computational approaches. See our lab web page ( https://projects.iq.harvard.edu/gaudetlab ) for more information about our publications and research interests. Basic Qualifications Candidate must hold a PhD
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using computational tools developed in our research group. These tools are based on discrete element method and they have bee validated against experimental data. You will start your work by further
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University, and the Natural History Museum aims to develop a fully automated robotic computed tomography system along with computational methods to enable 3D digitization of large collections of natural
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-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp
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imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem-solving skills. Additional
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( https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods