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and execution, data analysis, and reporting while offering an exciting opportunity to contribute to cutting-edge research in a collaborative and dynamic environment. Specific role requirements
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, and/or related analysis skills. Work Schedule 40 hours per week. This position is fully on campus. Salary Information Salary is commensurate based on experience. Special Instructions to Applicants Along
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artificial intelligence (AI) and machine learning (ML) methodologies and interested in advancing these tools for accelerating the analysis of the big data acquired by electron microscopy. • You work
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institutions. Primary responsibility will be to develop, test and validate various sequences in healthy volunteers at 10.5 T. Additional responsibilities will be spectral processing, critical analysis of data
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-loss-spectroscopy is highly desirable. - Demonstrated quantitative data analysis abilities. - Effective communication skills. BNL policy requires that after obtaining a PhD, eligible candidates for
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Hartvig Clausen (DTU) and U Copenhagen scientists Dr. Céline Galvagnion, Prof. Nikos Hatzakis, Prof. Martin Lauritzen and Dr. Krzysztof Kucharz. Work includes purification and biophysical analysis
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KU Innovation Park. Office space adjacent to the laboratory and a desktop computer will be provided. Job Description 70% - Design and execute in vitro and in vivo experiments (e.g
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):4237. You will be expected to collaborate with other laboratory scientists and outside scientific partners in the design, implementation, and analysis of experiments. As required, you will be expected
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partners in the design, implementation, and analysis of experiments is essential. Preparation of manuscripts for submission to scientific journals and presentation at scientific meetings is required. 10
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning