24 postdoctoral-image-processing-in-computer-science PhD positions at Linköping University in Sweden
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application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine
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application! We are looking for a PhD student in Environmental Science for research on Greenhouse Gases and Biodiversity in Agricultural Landscapes using Drone and Satellite measurements. Your work assignments
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materials. WWSC is the largest research initiative in Sweden in this field and currently includes around 50 PhD students and 20 postdoctoral researchers. Green chemistry, bio-based building blocks, and
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postgraduate education within Medical Science. The employment When taking up the post, you will be admitted to the program for doctoral studies. In connection with your admission to the doctoral program, your
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this field and currently includes around 50 PhD students and 20 postdoctoral researchers. Green chemistry, bio-based building blocks, and innovative materials design are essential for a sustainable society. In
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. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at Master’s level in Mathematics, Computer/Data
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Clinical Sciences (BKV ). MMV carries out research, undergraduate and postgraduate education within Health Sciences. The employment When taking up the post, you will be admitted to the program for doctoral
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induction. You will combine advanced genetic engineering approaches with survival assays, fluorescence-based techniques in fixed and live cells, single-cell sequencing, and computational bioinformatics
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different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and