466 data "https:" "https:" "https:" "https:" "Linköping University" "IFM" uni jobs in Sweden
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental
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conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modeling, applied research in social science, as well as stochastic models and
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of the hearing aids. The project is interdisciplinary and builds on existing collaborations with automatic control researchers and a newly hired PhD student at Linköping University as well as auditory systems and
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are united in our efforts to understand, explain and improve our world and the human condition. Lund University announces a position of Associate Senior Lecturer in Statistics with a focus on Data Science. The
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progression. More information about employment benefits at Linköping University is available here. Union representatives Information about union representatives, see Help for applicants . Application procedure
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Cybercampus Sweden. The doctoral student will be supervised jointly by researchers at Chalmers University of Technology and Linköping University, providing exposure to complementary perspectives and expertise
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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Uppsala University, Department of Cell and Molecular Biology Do you want to work on enabling groundbreaking, data-driven Life Science research in an international environment, supported by competent
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or equivalent Additional Information Work Location(s) Number of offers available1Company/InstituteLunds universitetCountrySwedenCityLundGeofield Contact City Lund Website https://www.lu.se/vacancies STATUS
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additional tasks include to improve our main simulation tool (Atmospheric Radiative Transfer Simulator, https://www.radiativetransfer.org/ ), to apply the derived geophysical data for verifying climate models