84 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in Sweden
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- Chalmers University of Technology
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relevant duties/assignments within the subject area. Other merits The scientific work is conducted within the research group as well as in association with a larger collaborative scientific network, and good
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written and spoken. Strong communication and organizational skills, as well as a demonstrated ability to produce high-quality results within set deadlines, are essential. Personal motivation and suitability
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pancreatic slice physiology using imaging and functional assays The group is part of SciLifeLab and the Wallenberg Center of Molecular and Translational Medicine (WCMTM), and maintains an active network
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carbon balance and evaluate the trade-offs and synergies among carbon balance, timber production and biodiversity values between conventional rotation and continuous cover forestry. The post-doc is further
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for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Automatic control or electrical and electronics engineering or related subject. A doctoral degree awarded no more than
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communication by participating in national and international meetings, and support service for analytical equipment. Publishing popular science and scientific articles is a central part of the work
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well equipped to further your career in academia, at infrastructures, in the health and MedTech sectors, and beyond. This 3-year full time post doc project will focus on synchrotron-based x-ray imaging
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examined. You will be expected to participate actively in the department’s knowledge environment and networks, both internally and externally. The work is carried out in projects, and you will collaborate
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of managing reverse logistics for returned products, and the potential disruptions to existing distribution networks. About us and the research project The division of Supply & Operations Management (SOM
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challenges and real-world impact. Project overview In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low