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consortium-wide large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science, psychology or computer design
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period of 3 years. The position is subject to external financing through the RCN funded project "Quantum Oscillator Networks for Optimisation and Machine Learning" (project number 358752). About the
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prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. Research topic Ultrasound is a medical imaging
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for Optimisation and Machine Learning (QONOMics) project sits at the heart of this expansion. The project focuses on the physics of networks consisting of coupled harmonic and Kerr-nonlinear oscillators. By studying
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is highly preferable Experience in material characterization, computational engineering, programming and computer aided design will be prioritized Work independently and in a structured manner, and
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master degree within preferentially reservoir engineering, or within applied mathematics, computational engineering, scientific machine learning, preferably acquired recently; or who possess corresponding
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. The center investigates emerging forms of digital narrative and how cultural contexts are reshaping their use and function. The PhD fellow will work in the research group Computer Games and Interactive Digital
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. Different experiences, perspectives and backgrounds contribute to better solutions and a positive working and learning environment. We welcome applicants with diverse qualifications, life experiences and
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plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral education. The position is funded by
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social mission Careers advice and guidance throughout the entire doctoral programme. Together we will draw up a career plan that includes the skills and knowledge you will acquire An inclusive working