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the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization. Please apply by clicking on the Apply button at the bottom of the ad. Applicants are requested
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to retrieve geophysical information from satellite data. Our research drives innovation in instrumentation and retrieval algorithms, and tackle climate change, air pollution, natural hazards, and land/ocean
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application! We are now looking to appoint a postdoc in the field of psychiatric neuroscience, formally based at the Center for Social and Affective Neurscience. Work assignments We study the role amygdala
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that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organisation. Application The application is to be completed online. Please submit your application by
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to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant
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in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several
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administration; year six will be 75% research and 25% teaching and administration. After this 6-year period, and given a successful promotion, the distribution between research and teaching may change over time
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application by August 11, 2025 Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization. Please apply by clicking on the Apply
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with modern machine learning and AI technologies to effectively address large-scale problems. About the research project We are seeking a highly motivated Postdoc to join our group in developing
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postdocs at Chalmers, and collaborate with academic and industrial partners in Sweden and internationally. The role also offers opportunities for travel and engagement with external collaborators. Research