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Field
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of computer and audio/visual equipment. We welcome and encourage applications from individuals of all backgrounds, especially those from groups traditionally underrepresented in the field of museum education
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Analysi s Experience analysing high-dimensional biological datasets. Proficiency in R for statistical analysis, visualization, and reproducible data analysis. Experience with packages such as Seurat
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Advanced in data visualization using Matplotlib, Seaborn, and ggplot2, and experienced in managing research projects with tools like Git/GitHub, ClickUp
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(especially: optics, opto‐mechanics, opto‐electronics, RF‐electronics) - good knowledge of analog and digital electronics - programming skills (preferably Python), databases, data visualization, and
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Framework for Medical Device Surveillance https://reporter.nih.gov/project-details/11091149 · CardioOnco-AI: AI-Empowered Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site
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explains the underlying concept). 2. Dynamic Narrative Generation and Content ‘Skinning’ a. Investigate the use of Generative AI to alter not only the text but also the visual aesthetics of the materials
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? Not funded by a EU programme Reference Number AE2026-0205 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt
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. * Analyzing brain neural circuits and cellular functions (including nsRNA-seq) in brain regulation from the retina via the non-visual receptor OPN5, which can be applied to conditions such as depression
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material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways. Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations