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parallel computing systems. Familiarity with git and GitHub. Experience building pipelines for the processing of medical images. Fluency in Python programming language. Familiarity with Bash. Excellent
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is focused on defining and understanding biological processes in Alzheimer’s disease and other neurodegenerative diseases. We analyze large datasets collected from patients and cognitively unimpaired
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things. It encompasses everything from processes at the molecular and cellular level to global processes at ecosystem level. The subject is divided into a range of sub-disciplines and specializations
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Mathematics,' and 'Computer Vision and Machine Learning' at the Faculty of Engineering, as well as Mathematical Statistics, which is cross-faculty. The position is located at the Division of Mathematical
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. Work duties and responsibilities Computer simulations and interpretation of other researchers' data Literature studies of possible Gen IV nuclear fuel nuclide inventories with respect
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. +46 70 283 1827 or Jan Astermark jan.astermark@med.lu.se tel. +46 70 5516619 Information about the application procedure can be provided by Recruitment Officer Eva Nilsson, tel. +46 46 222 17 89
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operation Preserve and strengthen in-house expertise in pulsed magnet technology Provide support to operations of the MAX IV accelerator systems To be successful in this role you need to have the following
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you wish to be considered (e.g. grade transcripts) As part of the application process, you will be asked to answer a few questions in the recruitment system. Applicants that are called for an interview
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for geospatial data processing and deploying analytical or predictive models Documented experience of analysis of remote sensing (RS) data, satellite image processing, or google earth engine in water-related
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communication systems for 5G and 6G, channel modelling, channel characterization, radio-based positioning and sensing, and associated signal processing algorithms. Work duties Employment as an assistant professor