93 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in Sweden
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research and education with a focus on wireless electronics, photonics, quantum technology, as well as bioelectronics and microelectronics packaging and integration within Chalmers University of Technology
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with
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experience in these areas. Personal qualities such as collaboration, communication, strong drive and motivation, critical thinking abilities, creativity and analytical skills are essential. You should be able
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, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, information designers, network technicians and engineers. We have five research specializations
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activities aiming at developing soft skills and at strengthening networks and collaborations in academia and industry. Be part of a strong postdoc community. The Umeå Postdoc Society fosters networking and
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deals with international trade in forest-based products, focusing on the trade between Sweden and Norway and other regions. The post-doctor will develop an analytical framework able to account for bi
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, diversity, and gender equality, supported through networking and mentoring activities. A friendly and inclusive working atmosphere, both within the research group and across Chalmers. About the research
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technology C3NiT and within a European network within the WBG Pilot Line, but also with experienced researchers within materials growth and materials characterization, at the departments of solid state physics
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods
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modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is required. Proficiency in statistics and programming are highly meriting, especially in gene regulatory networks