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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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Sprachauswahl FAQ de Stellenportal chevron_left Übersicht Partnerinserat chevron_left Übersicht Research Associate – AI-Driven Process Optimization for Smart Manufacturing 100%, Zurich, fixed-term
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Consolidator project “Burgeon” aiming at understanding the connection between tectono-geomorphic processes and the origination of biodiversity. The Laboratory of Ecosystem and Landscape Evolution is an
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approaches to solve challenges in constitutive and process modeling. We bridge the gap between theoretical research and industrial applications through close collaborations with industry partners, applying
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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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Your position You bring an interest in pediatric craniofacial anatomy, coupled with a strong affinity for 3D imaging analysis, including segmentation. In addition, the role involves expanding into the development of Virtual Reality (VR) and Augmented Reality (AR) solutions for advanced 3D...
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. Empa is a research institution of the ETH Domain. In our Laboratory for Advanced Materials Processing in Thun, near Bern, we are currently looking for an outstanding candidate to conduct cutting-edge
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if required. Proven ability to independently plan, execute, and troubleshoot NGS experiments. Strong multitasking skills with the ability to manage and prioritise multiple parallel tasks effectively
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. Within this field, we are continuously developing and adopting various algorithms for multiple applications such as automating quality control, detecting process deviations and finally predicting