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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
. You will have the freedom to ask what information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging
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statistical methods for adaptive learning, sequential decision-making, and control, motivated by applications in public health and epidemiology. The project will focus on methodological advances in
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,orarelatedfield · Strongbackgroundinquantitativemethods,statistics,anddatascience,with demonstrated experience in empirical research and data analysis of large datasets
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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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learning, and statistics for bioprocesses). Personal suitability and motivation for the position. Qualifications considered an advantage Documented knowledge and experience in machine learning, deep learning
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. Developing sample preparation and MS/MS analytical protocols, Qualitative and statistical analysis of data. Preparing reports using data science notebooks, MS Word, MS PowerPoint etc. The Researcher will train
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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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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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qualifications: Knowledge of polymer processing and statistical experimental design (DoE) Collaborative mindset and enthusiasm for working in interdisciplinary teams Strong organizational skills and a structured
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Associate will work closely with the principal investigators and will be responsible for: Conducting statistical analyses using large administrative datasets Preparing analytic datasets and documenting data