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-world buildings, data analysis, and modeling. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also
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. The research is centered on the description, critical analysis, and scientific explanation of phenomena of education. Your subject area will include the education and trainingprocesses in specially
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strong scientific background with relevant expertise in cell and/or molecular biology. Interest in programming, computational biology and statistic towards high-throughput data analysis is considered a
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Proficiency in R and/or Python for data analysis is a plus Record of research productivity and publication Motivation to start or continue in benign urology research Written and verbal communication skills
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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are looking for a highly motivated post-doctoral candidate interested in advanced health data interoperability and harmonisation, federated data analysis and the development of next generation AI-based research
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malaria parasites or other infectious disease models. Proficiency in FlowJo, R, and/or RStudio for high-dimensional flow cytometry data analysis and visualization. Experience with high-parameter spectral
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management abilities; ability to work independently and collaboratively in a multidisciplinary research environment. Experience with human participant research, data collection and analysis, statistical
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Gravitation. Other Centres include the Centre for Probability, Statistics & Data Science, the Centre for Geometry, Analysis and Gravitation, the Centre for Dynamical Systems, Statistical Physics and Complex
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 5 days ago
of memory and cognitive impairment in early-stage neurodegenerative disease, particularly through naturalistic, translational research approaches Experience with (f)MRI data analysis; prior