11 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Oulu
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., Python, Matlab, Fortran, C). Ability and willingness to learn new things. Good communication skills. See also the requirements of the University of Oulu Graduate School (UniOGS) . Salary The position is
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and willingness to learn new things. Good communication skills. See also the requirements of the University of Oulu Graduate School (UniOGS) . Salary The position is fixed-term for 4 years starting
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. The DCs will be guided by leading experts from academia and industry through well-structured projects, secondments, and training activities. This comprehensive approach ensures that candidates acquire
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium
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) to study talk and interaction in multinational crisis management training. The studied situations involve military and civilian personnel who are trained to participate in international peace-keeping and
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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from
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project, titled "Linguistic distance, language learning, and educational attainment," aims to investigate the effect of linguistic distance on educational performance and understand what makes students
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). Programming skills with Matlab, C/C++ or Python. Research experience in machine learning and artificial intelligence and/or inverse problem applied to imaging applications. Salary The position is fixed-term
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-driven 3D motion understanding and generation in the following ways: Developing machine learning methods to decode EEG-based motor imagery for 3D human motion reconstruction, focusing on latent diffusion
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. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological