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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work
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novel machine learning method development. However, you will be part of a larger cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities
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flow behavior. The project also involves applying machine learning and computer vision techniques to enhance data analysis, pattern recognition, modeling, and prediction. The role requires a solid
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning
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13 Sep 2025 Job Information Organisation/Company Linnaeus University Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Country Sweden Application
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and maintenance of the workshop's machines in terms of safety devices and function. - Ensure that there is order and order in the workshop premises. - Provide materials to other students. - Lock and
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characterization of nanoscale photonic devices. This recruitment is closely aligned with the recently launched META-PIX Centre , funded by the Swedish Research Council, which focuses on integrated photonics and its
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systems: (1) Event vision for low-latency human / robot co-working scenarios Convolutional neural networks for computer vision require substantial computing resources and introduce significant latencies
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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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groups and industry collaborators committed to advancing semiconductor devices and circuits for far-infrared applications. About Us At the Department of Microtechnology and Nanoscience , you will be part