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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
foundation model of human tissue. By learning universal representations of cellular architecture across organ systems, this computational platform will map structural remodeling during aging and simulate
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. Desirable criteria Experience with training or fine-tuning LLMs or other generative AI models Excellent programming skills and familiarity with modern AI frameworks Downloading a copy of our Job Description
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modeling, molecular simulations, bioinformatics, or wet-lab experimental design relevant to the lab’s focus preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
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. Desirable criteria Experience with training or fine-tuning LLMs or other generative AI models Excellent programming skills and familiarity with modern AI frameworks Downloading a copy of our Job Description
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protective or pathogenic role of antigen-specific CD4+ T cells in these conditions. Our approaches combine mouse models of disease with analysis of human clinical samples using state-of-the-art immunological
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. • Experience in population-based research and statistical modeling, including regression and longitudinal or mixed-effects methods. • Strong publication record and scientific writing skills. • Proficiency in
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of the fellowship theme (laser spectroscopy, imaging, cell studies, modeling) motivate you most, and how you would shape the research direction during the first year. 2. A certified copy of the doctoral degree
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protective or pathogenic role of antigen-specific CD4+ T cells in these conditions. Our approaches combine mouse models of disease with analysis of human clinical samples using state-of-the-art immunological
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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functionalities that can further improve operational performance, such as the integration of predictive models, orbital dynamics knowledge, or drag-aware optimisation strategies to enhance manoeuvre timing and