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innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. Project background We are looking for a motivated Machine Learning Scientist to join the development team
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scope to influence the long-term development of ECAF’s analytical capabilities, workflows, and user support model. A collaborative environment with a broad scientific user community. Employment conditions
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affect technology adoption, industrial development, policy design, and its socio-technical and political feedback effects. The project is embedded within ETH Zurich’s new Einstein School of Public Policy
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manufacturing and operations to support development, integration, test, launch, and on-orbit commissioning Provide on-orbit or mission support, including anomaly resolution and telemetry evaluation
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now be adopted for secretion recombinantly synthesized proteins for the first time. Job description The PhD-Student will perform the following tasks: Development of high throughput assays, typically
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; Astronomical Instrumentation; Optical Design Skills Development During the PhD, the student will develop expertise in: Extreme-precision radial velocity (EPRV) instrumentation Optical design and tolerance
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Observations; Stellar Variability; Time-Series Analysis Skills Development During the PhD, the student will develop expertise in: Ground-based exoplanet transit surveys Operation, installation, and commissioning
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of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society We are actively committed to a sustainable and climate-neutral
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of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society We are actively committed to a sustainable and climate-neutral
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to commercial-grade systems, we are seeking a visionary Lead Architect to drive the design and development of the V2.0 system. This role is critical for establishing technical novelty, securing a new IP portfolio