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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight
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an internationally recognised, competitive research program sustained by external funding. Teaching experience at university level is expected. The candidate will teach at the Bachelor level and contribute
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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the Department of International Law. They will also be called upon to teach classes and supervise master’s dissertations in the interdisciplinary programme and may be asked to contribute to executive education
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Joint Research Centre under the Collaborative Doctoral Partnerships programme. For further information and detailed task description please see link below. Your profile Qualifications and Specific
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operating and advancing the data platform, assist interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage and process large environmental
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Transcriptomics Specialist; Image Analysis Specialist (this position); Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across
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Transcriptomics Specialist (this position); Image Analysis Specialist; Computational Neuroscience and Data Analysis Specialist. These positions will work closely together and will support a broad user base across