46 cloud-computing-"https:" "https:" "https:" "St" "St" "St" "St" positions at Linköping University
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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=sv The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en
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for the position: An established and active research program in Neuroengineering. Deployment of engineering-based methods for development and analysis. Experience of research conducted in close collaboration with
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2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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at Master’s level in Computer Science, Electrical Engineering, or Applied Mathe- matics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical
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: https://liu.se/en/research/laboratory-of-organic-electronics/organic-nanoelectronics and https://liu.se/en/research/laboratory-of-organic-electronics . The employment This employment is a temporary
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- 12:00 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine