136 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Sweden
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on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The specific focus is on development and
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data Expertisein advanced statistical analysis and machine learning methods Excellent English communication skills (spoken and written) We seek a creative, independent, and collaborative co-worker with
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focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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thus MLOps (Machine Learning Operations), datacentric AI, and legal and ethical aspects of AI. The empirical research catalyzes industry-academia collaboration and cross-dsicplinary initiatives, in which
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loop/TAD structures. - Perform comparative analyses versus Populus tremula; apply network modelling and machine learning for regulatory inference. - Functional validation of candidate TE‑CREs in spruce
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, where the mentioned division formally belongs to LTH. Research at CMS currently covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine
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research grants from funders relevant to a Swedish context. Ability to teach courses on adjacent programmes in the department, e.g., software development, human-computer interaction, embedded systems, etc
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aspects of software development (DevOps, Algorithms etc.) or informatics (e.g., content design, user experience design and human-computer interaction). You are expected to build and maintain an academic and
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects