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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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Sequencing (GBS), Whole Genome Sequencing (WGS) and targeted genotyping chips (e.g. MassArray) and analyze them together with environmental data using population genetics and machine learning tools
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discussions for other timelines are possible. Qualifications: PhD in a broadly related field (e.g., cognitive science, computer science, psychology, learning sciences, linguistics, speech-language-hearing
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to diverse expertise and resources across leading institutions. The successful candidate will join a dynamic and collaborative research team dedicated to developing cutting-edge AI, machine learning, and
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Requirements REQUIRED: PhD in molecular biology, cell biology, genomics, biophysics, or any closely related field. Experience in chromatin is desired not required. The candidate is expected to have excellent
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simulations. (5) Interacting with other team members on industry-sponsored projects involving combustion, turbulence, multiphase flow, machine learning and artificial intelligence, algorithm development and
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environmental data to uncover the impact of early life experiences on long-term mental health. You can learn more about the Lab’s work on baby teeth on our website: www.teethforscience.com As a Postdoctoral
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. Assist in the mentorship of junior lab members ? Learn transferrable skills to become a successful PI Act as a subject matter expert for the team in DNAm, biomarkers of mental health risk, and statistical
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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management. To qualify for the position, a candidate must have completed a PhD by the time of employment, and the degree may be in sociology, psychology, political science, or related areas. Demonstrated