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knowledge of the subject area of microbiology and antimicrobial resistance, preferably in the context of longread data. The person we need We are looking for someone who takes responsibility for tasks and
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quantitative skills, a reasonable track record, and an enthusiastic approach to science. The applicant is expected to: have strong background knowledge of the physiology of primary sensory afferents and
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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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developing complete models. Example applications include models for predicting material structure and properties, neural networks replacing quantum chemistry with knowledge-based approaches, improved materials
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. The research includes artificial intelligence and autonomous systems that operate in collaboration with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent
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worked with all of those, but you should have a firm basis in Unix/Linux and some knowledge about various forms of networking and security. Administratively, you’ll be employed at the Department of Science
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benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science
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developments in your field and societal developments relevant to your work. You are flexible and able to navigate different types of pedagogical and scientific contexts. You share knowledge and contribute
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studies on the use of digital technology in sustainability governance. participation in UNFCCC or CBD meetings. Good knowledge in both Swedish and English is required for the position. We are looking
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. The research includes artificial intelligence and autonomous systems that operate in collaboration with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent