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Field
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comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth Collaboration. Work in an open environment that allows you to collaborate with systematic
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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Professors who will conduct academic research in association with a faculty member or team. The appointees will contribute to our translational research program in Developmental Therapeutics and Immuno
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), Universitätsmedizin Greifswald offers attractive benefits such as company pension schemes and employee discounts. Professional development opportunities: Regular training and development programs are offered to support
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contribute to advancing knowledge through high-impact publications. Research Leadership and Mentorship (30%): Lead and manage an innovative research program in neurodegeneration, exploring areas such as
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architects, historic preservationists, interior architects, and landscape architects through 13 degree programs and post-professional research-based degrees: Bachelor of Architecture, Master of Architecture
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analysis of tumor tissue Programming skills in R Documented knowledge in interpreting data from clinical studies Strong ability to work independently Excellent teamwork and collaboration skills Documented
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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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or machine learning. Excellent programming skills (e.g., MATLAB, Python, or ROS), a strong publication record, and an ability to work collaboratively in multidisciplinary environments are essential. Prior
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academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability