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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences . The Centre for Mathematical Sciences is an
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computing. The LunDMX group currently consists of a senior researcher, three faculty members, a postdoc, an engineer, and two Ph.D. students. Project description The overarching theme of this project is to
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level. Work duties You will primarily devote yourself to your doctoral programme, which includes participation in research projects as well as third cycle courses, seminars and conferences. The work
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-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
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University, Halmstad University, and Blekinge University of Technology. ELLIIT in Lund is spanning four departments: Electrical and Information Technology, Computer Science, Automatic Control and two research
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and synchrotron X-ray microtomography; experience with 4D (in-situ/operando) X-ray microtomography experiments; experience in developing 3D/4D image data analysis algorithms; experience using 3D/4D
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other -omics data. Other tasks within the research group may also be relevant. Qualifications The requirements for the position are: PhD in bioinformatics, genetics, statistics, computer
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. Under special circumstances, the doctoral degree can have been completed earlier. The candidate must have a degree in mathematics, biostatistics, statistical genetics, or a similar relevant subject and
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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enables a range of novel phenomena not seen in traditional materials, primarily exotic forms of emergent collective phenomena. The research project will employ computational techniques, primarily lattice