466 postdoctoral-image-processing-in-computer-science-"Washington-University-in-St" positions in Sweden
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collaboration with healthcare providers, including handling of patient samples. The postdoctoral position is part of the WCMM IGNITE postdoctoral program (https://www.wcmm.lu.se/ignite-postdoc-fellow-program
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between
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. Subject area Political science Subject area description Political science is the study of politics, and we welcome applicants from all subdisciplines of political science. Duties The employment as a postdoctoral
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
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with technology facilities (national and international) and the clinic, as well as on genuine enthusiasm for the topic and methodology. Application process: The application must contain the following documents in
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qualified and motivated postdoctoral researcher. The group studies the behavioral, neural, and computational principles behind human learning and decision-making in social environments. Our interdisciplinary
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The Department of Chemistry, Umeå University, Sweden, invites applications for a two-year postdoctoral fellowship within the project "Structural biology with a focus on lipoprotein transport in gram
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering