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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
transcripts across subtypes. In parallel, the candidate will work on exploring epidemiological models within the framework of phylodynamics and phylogeography and integrating them with population genetics
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iteratively refined by converging evidence from downstream validation (such as chemo-genetics, structural modelling, functional assays, thermal proteome profiling and omni-omics), creating an adaptive and
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, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI
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in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may