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-driven techniques to improve software design and performance, using machine learning algorithms for specific tasks in web development or project management, or using AI for testing and continuous
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Welcome to Linnaeus University! Here you'll meet 2 200 staff members and 40 000 students, all united in following the vision to set knowledge in motion for a sustainable societal development. With
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to create secure, autonomous and developable solutions that interact with each other and their surroundings, from the edge to the cloud. Project description For this position, you will be working as part of a
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to developing robust optimization and estimation algorithms, The work will be done using modern methods in mathematical modelling, optimization and machine learning. For more informaiton, please see: https
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Sapere Aude – dare to know – is our motto. Our students and employees develop important knowledge that enrich both the individual and the community. Our academic environment is characterised by
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modeling, and algorithm development, with experimental validation using Chalmers' advanced multi-antenna testbed. The overall objective is to contribute to the development of energy-efficient and high
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education mainly in data science, machine learning and AI, algorithms, and mathematical modelling. Computer Networks and Systems , with the opportunity to work in traditional computer engineering subjects
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. This development has a huge potential for societal impact, with applications in renewable energy, energy storage, electronics, medicine, sustainable manufacturing, etc. The main focus for the advertised positions is
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algorithms to detect complex structural variants in humans using long DNA sequencing reads. A structural variant (SV) is a large-scale alteration in the genome that involves rearranged, deleted, or inserted
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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class