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of ecological values based on statistical methods (e.g. PCoA, NMDS, TITAN), construction of microbial networks as well as trait-based models Presentation of project results at scientific conferences and
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machine learning, molecular simulations, statistical physics, multiscale modeling, and uncertainty quantification. In particular, openings are available in connection with the following projects
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 4 days ago
datasets, determination of ecological values based on statistical methods (e.g. PCoA, NMDS, TITAN), construction of microbial networks as well as trait-based models Presentation of project results
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Blog Your requirements Passion for and enjoyment of data science and the associated infrastructure University degree (Bachelor's, Master's or PhD) in computer science or a related field (e.g. data
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knowledge of computer vision, especially segmentation and object recognition Knowledge in the field of explainable Artificial Intelligence is an advantage Knowledge of Bayesian statistics is an advantage
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Working Group of Dermatological Immunotherapy, Department of Dermatology, University Medical Center Mainz | Germany | 7 days ago
Oncology Mainz TRON. As a leading bioinformatician you will work alongside other bioinformaticians, clinicians, postdocs and PhD students within the working group, department and university medical center
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 10 days ago
development and implementation guidance, to engineer more robust and interoperable ocean digital ecosystems. Requirements PhD or equivalent experience in data science and/or informatics High fluency in core
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, Adaptation and Longevity Initiative and the Translational Oncology Mainz TRON. As a leading bioinformatician you will work alongside other bioinformaticians, clinicians, postdocs and PhD students within
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Leibniz-Institut für Agrartechnik und Bioökonomie e.V. | Potsdam, Brandenburg | Germany | 5 days ago
object recognition Knowledge in the field of explainable Artificial Intelligence is an advantage Knowledge of Bayesian statistics is an advantage Basic knowledge of the environment, agriculture, microbiome
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tools and “big data” approaches with a special focus on Bayesian analysis Designing, conducting, and interpreting statistical analysis, including analysis of cohort, cross-sectional and clinical studies