1,447 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "J. F" positions at Nature Careers
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of our product development teams building applications within the St. Jude Cloud ecosystem, including the large-scale data sharing application, Genomics Platform (https://platform.stjude.cloud
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between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches from systems and molecular neuroscience and develop new
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of Molecular Biology (LMB), within a programme aimed at studying the neural circuit basis of behaviour. Specifically, to map the synaptic wiring diagram, or connectome, of whole brains, using machine learning
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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of triterpenoid bioactives, inspired by the chemical diversity of the Plant Kingdom. The post is part of a larger programme in the Osbourn lab on harnessing plant metabolic diversity for medicinal, agricultural and
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.
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training programme in Austria encompassing the three disciplines of Pharmaceutical Sciences, Nutritional Sciences and Sport Sciences and brings together about 160 doctoral candidates and 45 Principal
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or research excellence. The Canada Impact+ Research Chairs competition is a one-time initiative to support Canadian institutions in attracting world-leading researchers from abroad. The program aims to address
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong