89 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" research jobs in Luxembourg
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Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering and Experimentation: Proficiency with
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discrete/combinatorial problems. Detailed information about the group can be found on the PCOG website .
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implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene
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interactomics, translatomics, and nascent proteomics data in order to shed light on co-translational protein misfolding in human dopaminergic PD neurons. We will then combine these findings with genetic patient
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project meetings / secondments Collaborate with external industrial and academic partners Disseminate research findings through publications and conference presentations For further information please
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of atomic environments Detection of extrapolation and low-reference data regimes Active learning in configurational and chemical space Training and benchmarking of large-scale foundational MLFF models More
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Collaborate with CCY researchers on ongoing projects and contribute to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals
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well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to The position holder will be required to perform the following tasks
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data.
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models, contributing to bridge transport economics, network modelling and activity-based modelling, and leverage different types of (big) data. The applicant should be a creative and motivated researcher