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of the project we welcome applications from candidates who hold a PhD in a range of fields including Physics, Chemistry, Materials Science, Engineering. To apply for the position please follow the apply link and
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-the-loop exploration of extreme-scale scientific data. This position sits at the intersection of scientific visualization, agentic AI systems, human–computer interaction (HCI), and high-performance computing
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us to better predict their future survival, improving their local-global conservation policies. In this project, we will address this by combining high-resolution micro-Computed Tomography and AI
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.) to enable real-time process monitoring of the Directed Energy Deposition (DED) printing process. A background in sensors, instrumentation, and data analytics is preferred. Strong communication and program
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Institute of Aquatic Science and Technology, Zurich; and Charles University, Prague Based in the Institute at the University of Oxford, this project aims to transform our understanding of the impact of
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travel combustion engines. The research involves computational thermodynamics (CALPHAD), high-throughput computational screening methods for alloy design, experimental alloy production (casting and/or AM
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earlier once suitable candidates are found) Details: Our research group is working on metamaterials and related electromagnetic issues at Nagoya Institute of Technology (NIT), which is known as one
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, or instructional technology, and/or a Masters degree in teaching and/or a reading specialist degree and/or masters degree in reading education Experience: 3-5 years teaching PK-5 reading/literacy Designing
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expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and stimulating environment, along with frequent opportunities
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately