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relevant to regulatory affairs in clinical research. Experience with medical terminology and investigative scientific methods. Preferred Qualifications Education: Masters or higher degree in life sciences
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area: 09/ICHI-01 – Systems, methods and technologies of chemical and process engineering, Scientific branch ICHI-01/C – Analysis, design and control of chemical processes. Working place Ancona
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regulations. High attention to details; Ability to bill clean Hospital claims while maintaining quality and productivity expectations. Ability to use computer technology effectively to perform all work
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. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan, implement and evaluate patient care, taking into consideration protective interventions
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quality and productivity expectations. Ability to use computer technology effectively to perform all work functions as well as to navigate through the internet or other software (e.g. DDE) to obtain
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 25 days ago
for the preparation and implementation of the project activities. Duration and start date The fellowship will have an initial duration of 6 months, with an estimated start date of February 2, 2026. The fellowship
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The UCSF Helen Diller Family
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are seeking to recruit a Senior Research Fellow to work on the development and implementation of methods for improving small area modelled human population estimates. The successful candidate is expected
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Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data-driven workload estimation, intelligent release