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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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that form, move and dissolve in dynamical, fluctuating and oscillatory concentration fields. The natural language for this is out-of-equilibrium statistical physics: phase separation coupled to chemical
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, Greenland glaciology, statistical analysis of proxy data. You should have good analytical and problem-solving skills and be motivated to develop quantitative approaches that connect geological records of past
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of analysing data using both qualitative and quantitative methods are desired. Applicants are expected to understand certain qualitative and statistical software (e.g. NVivo, SPSS, Stata). Experience with data
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Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
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or Computer Science; Human-computer Interaction, Spatial Cognition or related areas; Engineering, Applied Mathematics, Statistics or another Quantitatively Oriented Discipline. Application procedure Your complete
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research questions, and be able to think critically and develop your own scientific ideas. Previous experience with statistical analysis, programming (e.g., R or Python), machine learning, or genomic data
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projects involve large-scale population cohorts, single-cell genomics, statistical genetics, functional genomics, machine learning, and clinical translation. We are a diverse and international team
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statistical modeling with clinical insight, aiming to improve risk prediction and inform sex-specific prevention strategies in atrial fibrillation patients. The research will be conducted in close collaboration
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
organism Proficiency in laboratory techniques, including OECD fish test protocols, histopathology analysis, and behavior analysis. It is an advantage if the candidate has experience in statistical analysis