827 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions
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physiology Coding proficiency (e.g., Python, R) and familiarity with deep learning tools are strong assets A strong publication record, critical thinking, and collaborative mindset Application Instructions
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a dynamic team that employs cutting-edge models - including iPSC-based cell biology, screening, biochemistry, genomics, imaging, and bioinformatics - to uncover new mechanistic insights into genes
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generating data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS and CT-PET machines, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, Proteomics (Mass
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2025-0016 How to Apply Click on Apply at the bottom of the opportunity to start your application. Application Deadline 7/28/2026 3
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. Analyze Diverse Data: Work with clinical, omics, and imaging data. Advance Therapeutic Discovery: Apply AI to identify new treatments. Develop Computational Tools: Build AI-powered neuroscience and
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perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join a highly collaborative
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, design & analysis of experiments & drafting of papers. E6 Experience in undertaking independent research. E7 Commitment to open research, as appropriate to the discipline, through open data, open code
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and performance enhancement of power electronic converters and transformer-based solutions. Perform hardware-in-the-loop simulations, prototype development, and bench-level testing to validate design
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-event sampling (e.g., metadynamics). • Familiarity with open-source coding practices (GitHub/GitLab). More Information Location: Kent Ridge Campus Organization: College of Design and Engineering
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The Opportunity: You will use a variety of analytical methods and coding techniques, including social computational approaches, to analyse how emotional and identity-based narratives and visuals