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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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sequencing and synthesis to design useful cell behaviors. The scope of this project is to combine multi-gene control technology and computer algorithms to develop a foundational discovery platform for future
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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A Postdoctoral Scholarship is available in the laboratory of Prof. Lena Gunhaga at Medical and Translational Biology , Umeå University, Sweden. We are seeking a highly motivated applicant for a
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for the project. Project Description AMBER Project Overview This project is part of the EU co-funded research initiative AMBER, Advanced Multiscale Biological Imaging using European Research Infrastructures, which
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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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include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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build the sustainable companies and societies of the future. The signal processing group carries out research in the areas of inference and wireless communications, with both acoustic and radio signals
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as a postdoctoral scholarship holder, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirement