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Field
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of machine learning tools. Fellowship Details: The fellowship is for 3 years, with possibility of extension. Please submit a cover letter, including experience and motivation, and your full CV to rvr
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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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data reflect real‑world disease phenotypes. Advanced analytics: apply AI and machine‑learning techniques (e.g., graph neural networks, multimodal transformers) to uncover novel biomarkers and generate
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expected to teach relevant courses at the bachelor’s and master’s levels with supervision from colleagues. Lastly, you will be advising students at all levels, including Master and PhD students
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We are seeking a highly motivated and skilled individual to join our neuroimaging laboratory, which specializes in multimodal image fusion, multiparametric modeling, and machine learning techniques
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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, trauma and history are entangled. Job description: In close coordination with the project management and the other project staff, the computer-assisted analysis of interviews with Holocaust survivors will
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simulations), computational chemistry, machine learning, enhanced sampling methods, force field development, or related fields are encouraged to apply. Start date is flexible. the postdoc will collaborate with
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Surface (RIS) Nonlinear circuits Millimetre wave Electromagnetic simulation We also welcome researchers from different fields: AI (machine learning, big database, etc) Semiconductors As a minimum
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campus in Lemont, Illinois five days per week. Preferred Qualifications Proficiency in programming (e.g., Python) for advanced data analysis, machine learning, and computer vision to accelerate insights