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, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation for independent research and high-quality
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on signals and complex systems. Gipsa-lab develops projects in the strategic fields of energy, the environment, communication, intelligent systems, life and health technologies, and language engineering
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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Research theme: Applied physics, applied chemistry, applied materials How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded by the Doctoral Landscape Award; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate...
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Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained
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strong interest in paleoclimate, marine geology and/or paleoceanography. Experience with one or more of the following would be an advantage: marine sedimentology and sediment-core analysis, geochronology
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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qualitative research methods and data analysis, and are willing to further your knowledge and practical experience in line with the project’s needs. Practical experience with in-depth interviews is a plus, as
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
in Germany. The IMPRS-LM unites scientists from diverse disciplines to tackle a fundamental question in biology: How do chemical components organize into the complex, dynamic systems we recognize as
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, particle image velocimetry and quantitative image-based analysis of aerosol transport. Design, fabrication and bench-top validation of an adaptive soft-mist inhaler research prototype. Low-inspiratory-flow