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. The ideal candidate would: Perform LC-MS proteomics experiments independently from sample preparation to data analysis. Coach projects` users on the best analytical approach to answer their research questions
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develop and run the weather and climate model ICON. We are seeking a High Performance Computing (HPC) software engineer to further develop and optimize the ICON model (80-100%). Project background In order
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, optimized for high-performance computing (HPC) environments. Classifying ice crystal habits using Convolutional Neural Networks (CNNs). Providing intuitive graphical interfaces for user interaction and data
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Required experience: CH/EU/EFTA citizenship or a valid work permit for Switzerland A Master’s degree (ETH, university) in engineering, computer science, or a related field Strong academic performance meeting
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systems traditionally rely on centralised control and human-in-the-loop monitoring of its moving parts. However, this requires large amounts of resources for the network operation. Operators, responsible
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mutual learning. Access to high-performance computing. Terms of employment: The desired starting date is September 1st, 2025. We are looking for a postdoctoral researcher/senior scientist for an initial
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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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experience with genomic data analysis on a high-performance computing cluster, along with strong communication skills, is desirable. Profile Research interest in statistical genomics, computational biology
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fully funded, full-time PhD position focused on the development of novel, energy-dense materials for asynchronous storage and dispatch of high-quality heat. The position is expected to start on 1 August
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contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance