301 high-performance-quantum-computing-"https:"-"https:"-"https:" positions in Switzerland
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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). Practical synthetic chemistry knowledge and polymer characterization is essential. Candidates with demonstrated research skills and high quality publications will be considered. Fluency in English is required
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Sciences with strong IT/programming skills, or in Computer Science/Physics with interest in geoscience and sensors, to support sensor-noise analysis, calibration workflows, and seismic-coverage modelling
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continuous, high-frequency water vapor isotope measurements (δ²H, δ¹⁸O) in combination with eddy-covariance ET fluxes, we will develop more robust, less assumption-dependent methods to partition ET
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-based materials and an application in agriculture, health and textiles, in order to identify application fields with high environmental sustainability potentials. This PhD position is part of the project
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. Empa is a research institution of the ETH Domain. The Biointerfaces Laboratory is offering a Postdoc position focused on the development of in vitro simulation models for performance evaluation
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take ownership of the technical delivery - from site assessment and logistics to safe and convincing operation on site. Representing Tethys Robotics will be a hands-on work ethic at demonstrations, 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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and are motivated to publish high-impact results Fluency in English; German is an asset. Our offer We offer an international, highly stimulating research environment with excellent infrastructure
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at the interface of computational modeling, biomedical data analysis, and clinical neuroscience. Job description Support clinical trial planning, including modeling of historical control groups and the development