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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
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) Country Switzerland Application Deadline 7 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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in reputable conferences or journals Experience with network simulators such as OMNeT++ or ns-3 Experience with High Performance Computing (i.e., SLURM) Experience with Git Workplace Workplace We offer
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Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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Materials. Project background Magnetic materials are important for several real-world applications including motors, actuators, sensors and computation. For example, heat-assisted magnetic recording is a
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of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
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Switzerland Application Deadline 16 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together to various projects, this role will involve
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of labeled phospho-tyrosine. Your tasks will encompass utilization of state-of-the-art bionformatic tools for protein design, perform high-throughput cell uptake tests, perform selection assays and express
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with ruminant nutrition, sustainability modeling, or precision agriculture is a plus. Proficiency in data handling, visualization, and high-performance computing (e.g., Python/R for analysis, cloud