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of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University. The research group, which is headed by Jakob Nordström , is also active
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Description of the workplace The PhD student will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund University
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assistants are needed for the following courses: ETIN35 IC-Project 1, study period 3 and 4 EITA15 Digital Systems, study period 3 and 4 (Helsingborg) EITF70 Computer Organization EITA60 Computer Communication
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Doctoral student in Electrical Engineering to the Department of Electrical Engineering (PA2025/3495)
Description of the workplace The Secure and Networked Systems Division within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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higher education credits, and not have commenced PhD-studies. Qualifications Requirements for the position are that you: You must be a current active full-time student at a master's degree program in
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in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and
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Transformation and as a Transformative Power (ProTest), funded by Horizon Europe – the European Union’s key funding programme for research and innovation. The project aims to analyse the context, current state
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, coherent idea of what you would like to study in our research environment. Computational skills (e.g. data analysis in R and additional experience with a command-line user interface) are also merits
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independence, and how the applicant, through their experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme. Terms of employment Only those admitted
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at Lund University Job Duties and Responsibilities We are looking for a person to work on the following tasks: Computational laboratory work in acquisition, reconstruction and image analysis in MRI