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programme documentation. You will also provide clear, definitive advice on academic regulations and codes of practice. We are looking for someone with excellent communication skills, strong analytical ability
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Code of Federal Regulations (CFR) and ICH Good Clinical Practice (GC) for clinical research. Be available to work in more than one environment, travel to meetings, off-site visits, conferences, etc.
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to access databases and analyze data Write custom coding tools or packages for PIs and other stakeholders Independently and creatively identify bioinformatic and data management solutions Independently
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service offerings; ensures compliance with federal, state, and local laws, regulations, codes, and/or standards, as well as CNM Board policies, procedures and collective bargaining agreements. Assists in
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 days ago
Job Code: 14-26 Job Offer from April 01, 2026 At the Max Planck Institute for Multidisciplinary Sciences , we bridge the gap between basic research and translational, preclinical approaches. Here
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or working with analytical and characterization equipment commonly used in electrochemical and materials research. Good coding skills, with proficiency in Python for data analysis and visualization
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gamified, cinematic, and immersive learning environments, including 360° and AR-enhanced experiences. This position blends art, animation, and interactivity, with coding serving as a tool to bring creative
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Reporting to the Assistant Director of Community Standards, this position supports the UNH campus in efforts to promote, enforce, and administer the Student Code of Conduct and foster a safe campus
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of data. Coding of adverse drug experiences, drugs and disease states, and standardized terminology are also considered. Mastery of key principles of data management will be demonstrated through hands
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clinical trials and the duties of the Clinical Data Coordinator. Topics include organization, col- lection, review, and tracking of data. Coding of data and standardized terminology are also considered