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for early intervention in progression of autoimmune blistering diseases. For more details, contact: Dr. Manuela Pigors (manuela.pigors@uksh.de ) and Prof. Dr. Markus Hoffmann (markus.hoffmann@uni-luebeck.de
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Previous Job Job Title Gross Lab - Researcher Next Job Apply for Job Job ID 369892 Location Duluth Job Family Research Full/Part Time Part-Time Regular/Temporary Temporary Job Code 8351RS Employee
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complicated historical records. Knowledge of basic concepts of constitutional government, law, history, and theory. Ability to present to small and large groups. Typing proficiency and computer proficiency in
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: Technical Competencies In-depth knowledge of project management theory, procedures, and practices, and the use of project management software tools. Knowledge of the operational context of a research center
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, vaccines, and devices. As a Research Assistant in Health Data Sciences in the group you will be supporting analyses of real-world health care data by writing analytic study code and contributing to our open
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appropriate. Research will focus on the application and dissemination of the dynamics of glasses using beta detected nuclear magnetic resonance (NMR). Organizational Status Reports to Prof Andrew MacFarlane
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. This position will work with our partners Praetorian Aeronautics and their testing team
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; Helping to convene and deliver national symposia on workplace wellbeing and resilience; Providing insight and analysis grounded in organisational psychology theory and methods. This role will form part of
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Posting Details Title Information Assistantship Title Graduate Research Assistant Job Class Code 10095 FLSA Exempt Minimum Qualifications Minimum Qualifications 1. Currently admitted to the Graduate
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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods