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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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Materials, a newly established, dynamic research group focused on solving industrial challenges through groundbreaking material science. Your profile PhD in Material Science or a closely related field Strong
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to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a focus on charge
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Postdoctoral Research Fellow - Jian-Fu Chen Lab Center for Craniofacial Molecular Biology University of Southern California Los Angeles, CA We are seeking 2 highly-motivated, creative, and
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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an exciting, emerging topic. The position will focus on integration and device fabrication based on combinations of 2D materials and freestanding complex oxides, aiming at discovering, engineering and unlocking
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology