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Field
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. You will work in a highly collaborative environment as part of a multi-national team of PhDs, MScs, and professional staff. We strive to create a safe environment that supports personal and professional
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of RNA molecules in gene regulation and human disease. The central goal is to build a predictive framework capable of reconstructing and interpreting RNA-mediated interactions at genome scale by
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, lactate) through engineered GPCRs and implement multi-layer phosphorylation-based decision logic (AND/OR gates) to drive precise metabolic and physiological responses. Will design genetic circuits and bio
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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techniques such as causal machine learning and multi-layer network analysis, the project generates original knowledge on causes of rule of law weakening and the impact on socio-economic outcomes such as
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grammar. The postdoctoral associate will – based on their research interest – contribute across one or more of the lab's five core themes: Genomic Technology: Design and execute new, large-scale
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for Early Literacy and Responsible AI (CELaRAI) , an Institute of Education Sciences (IES) funded national research and development (R&D) center supported. CELaRAI (LinkedIn: CELaRAI ) is a multi
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spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of large-scale
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
, protein biochemistry, quantitative proteomics, and functional genomics to investigate transcriptional regulation across multiple spatial and molecular scales. The project encompasses three interconnected
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are desirable. We particularly encourage applicants with expertise in Multi-scale Modeling, Evolutionary Computation, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly