118 postdoctoral-image-processing-in-computer-science "Washington University in St" Postdoctoral positions in Sweden
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Institute of Advanced Neutron and X-ray Science. AMBER is funded by the EU’s Marie Skłodowska-Curie (MSCA) COFUND programme. Approximately 14 postdoctoral fellows will be recruited in this first call, and
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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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research unit. The division focuses on uncovering molecular mechanisms of health and disease through advanced imaging and biophysical approaches. The research group hosting this position studies Contractile
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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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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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; 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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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