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electronic structure calculations to explore the phase diagram and relevant properties of layered Ruddlesden-Popper-type nickelates. Project background Layered nickelates of the Ruddlesden-Popper series have
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. These materials-ranging from structural to water-soluble polymers-are designed for complete microbial metabolic utilization in their intended receiving environments (e.g., aquatic systems, soils, wastewater). By
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Zurich is the leading institute for applied research in economics in Switzerland. KOF conducts well-founded and independent research on the Swiss and international economy. It addresses structural and
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CCS. Your main tasks will include: Processing and imaging the newly acquired high-density 3D seismic dataset and integrating vintage 3D seismic data to image and characterise the geological structures
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to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad implications for understanding cellular health and disease. As a PhD student on this project, you will
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? To this end, our existing high-fidelity fluid-structure interaction solver (prediction of turbulent flow structures and fluid-structure interaction) needs to be combined with sophisticated blood damage models
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
torrential catchments.The Torrents and Mass Movements group is looking for a candidate to start in December 2025 or by agreement as a PhD student in Sustainable Hydraulic Structures in Torrents (f/m/d) You
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approaches, we aim to provide the first comprehensive picture of Hsp90's structure–dynamics–function relationship, with broad implications for understanding cellular health and disease. As a PhD student on
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8 Nov 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Other Engineering » Biomedical engineering Engineering » Computer engineering Physics » Optics
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, indicators and survey information. The division combines structural macroeconometric modelling with data-science methods for nowcasting, high-frequency indicators construction, machine learning, time-series