14 computational-physics-"https:"-"https:"-"https:"-"https:"-"Goethe-Universityrankfurt" Postdoctoral positions in Switzerland
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engineering, physics, atmospheric sciences, or a closely related field. - Strong publication record and demonstrated experience in computational fluid dynamics, turbulence modeling, and wind energy
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interdisciplinary project on the development of new computational approaches for improving safety and sustainability of (nano)materials based on publicly available data and tools, including omics data, and
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. The main research focus of our division is the relationship between physical activity and cognitive performance across development. Possible research topics within this position include, among others
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technology development. The lab combines cutting-edge methods such as functional two-photon microscopy, high-density neuropixels electrophysiology and spatial biology research, alongside computational analyses
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computer scientists, experimentalists and clinicians. You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests. Access
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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artificial intelligence. We will