56 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" uni jobs at University of Lund in Sweden
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are united in our efforts to understand, explain and improve our world and the human condition. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of
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models, statistical signal processing, statistical theory and computational statistics, and probability theory, with applications in areas such as medicine, environmental research, and financial
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are united in our efforts to understand, explain and improve our world and the human condition. Doctoral Programme The PhD program consists of 240 credits (equivalent to four years of full-time studies) and is
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and Information Technology at Lund University, the Faculty of Engineering, LTH, works broadly with research within Cryptography, Computer Security, Wireless and Fixed Networks. The security group has
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test multi applications. Within this project we will design a ultrabroadband and a high spectral resolution hyperspectral lidar. The development is done by raytracing, Computer Aided Design and 3D
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in this role you need to have the following qualifications • Be following a university curriculum in Computer Science, Physics, Mathematics, Engineering, e-Sciences, or similar field and completed
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. Eligibility Students with basic eligibility
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, environmental science, computer science. Good skills in using quantitative analysis tools within one or more of the following methods: Network analysis methods, visualization methods, online data collection (e.g
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into society. The project is part of the EU-funded Water4All programme, phase 2. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as
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mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full professors and almost 50 senior