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Field
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model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate
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activities Self-motivated and quick to learn, thriving in dynamic, fast-moving environment Strong Trading Interest and drive to develop a deep mental model of microstructure and market intuition By applying
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community at UTIG and The University of Texas at Austin through the development of a vigorous, internationally recognized, and externally funded research program, and through engagement with colleagues
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fostering positive relationships among Hispanic families by developing, evaluating, and disseminating evidence-based multigenerational digital lifestyle interventions. The position is part-time (hourly), with
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
/Responsibilities The primary duties associated with the position involve conducting research on biomolecular and biophysical systems including proteins, nucleic acids, or small molecules, prepare and publish journal
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, execute and troubleshoot the experiments. The applicant would be conducting research and publishing papers in high-impact academic journals. One of the key aspects would also be to recruit, train and
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or worsening structural and clinical features and identify risk factors for decline among severely affected children with CZS. Dr. Kelleher’s research uses telehealth-based methods to assess early development
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accounting, and database maintenance. They will also participate in an average of one research cruise per year. It is anticipated that the Research Assistant Professor will develop their own independent
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to collaborate with industry partners, publish in top-tier journals, and develop innovative methodologies for real-world challenges in supply chain and operations. Key Responsibilities • Develop and apply
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression