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The position is placed at the Division of Astrophysics in the Department of Physics to work with David Hobbs on developing algorithms to improve the quality and scientific information that can be
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role in communication, radar, imaging, and measurement systems. This project focuses on developing advanced theoretical frameworks, algorithms, and methodologies for analysing, designing, and
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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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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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sensors, but the methods could also be applied to other sensor types. The thesis work in the project will include the development of new methods, theoretical analysis, algorithm design, planning and
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algorithms. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The position includes
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(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
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applications over the cellular networks. In our 5G-lab, we have access to a local and complete 5G network, with a core network, base station, cloud-based applications and distributed antenna systems
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-of-core techniques, GPU algorithms and architecture. Work duties As an associate senior lecturer, you will have the chance to apply a long-term focus on the challenging research questions you are passionate
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diseases from MRI images of the brain and automatic selection of examination type from referrals in radiology. The thesis work will include development of new methods, theoretical analysis, algorithm design