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As a postdoctoral researcher, you will analyze data from the Youth Survey Luxembourg (YSL). The YSL spans topics including attitudes, digitality, health, political participation, and the values
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their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following tasks:
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-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials
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career goals align with its objectives Transcript of all modules and results from university-level courses taken PhD diploma or a letter/information indicating the expected defense date List
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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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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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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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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data