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Field
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.) Data analysis and statistics (R, Python) Qualified applicants should send their CV, a statement of research interests and the contact information of two referees before March 9 to david.bikard@pasteur.fr
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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relevant areas. Has strong ML/AI programming skills (Python: PyTorch, numpy, pandas) and R. Fluent in using UNIX. Publications in related journals is a plus. Baylor College of Medicine is an Equal
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 22 hours ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
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, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with large spectral datasets, including developing and managing spectral libraries or databases, is
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alternatives to traditional chemical analyses, spectral data processing and multivariate analysis, spectral interpretation, chemometric model development (preferably using R and/or Python). Ability to work with
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systems, ideally including mobile manipulators. You will be proficient in software development (Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest