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programs, with three years funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. The Postdoc position is limited to two years with a
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programs within the Institute for Stem Cell and Regenerative Medicine, the Department of Genetics, Einstein Cancer Center and throughout the school. These include weekly journal clubs, work-in-progress
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well as the residency programs and clinical training of Humanitas University, an international Medical School that stands out for its real-world simulation-based approach to medical training. Humanitas Research is made
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potential vulnerabilities is a strong plus Proficiency in a major programming language (e.g., Python, Java, or C++) Familiarity with cybersecurity tools and methodologies, including vulnerability assessment
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specifically designed programs to enhance professional growth and career readiness empowering postdocs for success beyond their training. This includes access to grant writing workshops, individual development
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facilities led by expert scientists, coupled with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance
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with cutting-edge technology, accelerates research productivity. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a
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, physics, mathematics, computer science, or related fields Demonstrated hands-on experience with machine learning techniques Strong programming skills (Python preferred) Experience analyzing time-series data
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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics