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, etc.) development of predictive models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty
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pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. URL to this page https://web103.reachmee.com/ext/I017/1114
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transcripts, details of referees, letters of recommendation, etc.)” We look forward to receiving your application! Where to apply Website https://lu.varbi.com/en/what:job/jobID:910848/type:job/where:39/apply:1
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future electronic systems - for technical and societal development. Our cross-disciplinary approach gives interesting collaborations in academy, industry and society, and is a driving force for innovations
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research within Unmanned Traffic Management (UTM). In this role, your primary responsibility will be the hands-on development of advanced simulations and prototypes that help us test and validate new UTM
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European Universities in several EU aviation projects About the research project EXAELIA The project is related to the development of future aircraft concepts and propulsion technology that has
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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, induce characteristic mutational signatures, and promote genomic instability, transcriptional dysregulation, and tumor evolution. The central hypothesis is that nanoplastics selectively bind to specific
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chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses that link TE‑derived cis‑regulatory elements (TE‑CREs) to gene expression divergence within
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with