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well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
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/loe ). Your work will primarily be under the guidance of Prof. Daniel Simon (https://liu.se/en/employee/dansi08 ), Organic Bioelectronics group leader at the Laboratory of Organic Electronics, with
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, the following are also required: Documented experience of application of artificial intelligence including machine learning and deep learning algorithms. Documented programming skills in Python, R, or MATLAB
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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encourages women and those outside the gender binary to apply for the position. For additional information, please contact Prof. Alexandre Bartel alexandre.bartel@cs.umu.se We welcome your application!
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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include writing scientific manuscripts, presenting project outcomes, and to supervise students at basic and advanced level. The research project will be coordinated by Prof. Rickard Ignell at SLU Department
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these transcripts into protein sequence databases. Guide the development of proteogenomics through implementation of novel algorithms and computational analysis infrastructure Development of tools to support clinical
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to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant
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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