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synthetic aperture radar for climate and navigation. About us At the Division of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system
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For the doctoral programme in question, the following are considered as other qualifications: Experience in scientific programming and algorithm development. Knowledge/experience in wireless communication systems
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning
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plan (e.g., microfluidic channel optimization, polarization-dependent scattering studies, spectral imaging implementation, or algorithm development). Planning experimental campaigns, simulations, and
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each year. You can find more information about us on the Department of Information Technology website. At the Division of Systems and Control in the Department of Information Technology, we develop both
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., microfluidic channel optimization, polarization-dependent scattering studies, spectral imaging implementation, or algorithm development). Planning experimental campaigns, simulations, and modeling efforts
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algorithms, deep learning, and data analytics. Hands-on experience in developing and deploying ML infrastructure, with expertise in PyTorch, or TensorFlow. Deep understanding of systems engineering with a
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experiments in humans Develop real-time signal processing and closed-loop control algorithms Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment
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of algorithms, data structures, high-performance computing, machine learning and microbiology. The position at the Department of Molecular Biology at Umeå University is temporary for four years to start
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, and bio-inspired computation, in close collaboration with clinical and industrial partners. About the research project This project focuses on developing next-generation neuroprosthetic systems