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Neuroscience student lab Kastanienhof – Dialogue Demokratie Zukunftsfest Careers Back Job vacancies IT & library / technology & maintenance / administration Professorships Postdocs, assistant professors, junior
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context that fosters academic freedom, curiosity, and collaboration to generate insights that help shape the living conditions in which individuals and societies can thrive. We bring together
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context that fosters academic freedom, curiosity, and collaboration to generate insights that help shape the living conditions in which individuals and societies can thrive. We bring together
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members or visitors in technologies and protocols used in the laboratory Your Profile: Degree from state-certified training program for technical assistants or Bachelor’s degree from accredited university
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
University in Israel to contribute to ongoing research efforts Conduct comprehensive literature reviews to gain an in-depth understanding of the research area and identify knowledge gaps Assist in writing
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context that fosters academic freedom, curiosity, and collaboration to generate insights that help shape the living conditions in which individuals and societies can thrive. We bring together
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-assisted image analysis, and AI-driven predictive modeling. The project is part of an EU-wide initiative to address the growing issue of airborne health threats found indoors. Your profile: • Master’s Degree
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-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning-assisted image analysis
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excellent doctorate, and pedagogical aptitude which has generally been proven through teaching experience. If you spent time employed as a research assistant (before or after your doctorate), this employment
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) simulations and offer time-saving benefits. We are looking for a dedicated and motivated student to assist us in implementing a novel Graph Neural Network based algorithm that can act as surrogate for FEM and