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with textual, cartographic, and visual sources; familiarity with content/discourse analysis is desirable Very good English (working language of the project), and of Georgian or Russian; German skills
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beyond basic scripts (numerical methods, data analysis pipelines, visualization) Fit in state of the art AI usage We are not looking for a narrow specialist. We are looking for someone who learns quickly
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provide corresponding debugging and/or performance analysis, document ICON model usage and workflows within MOD, as well as develop and extend in-house climate data processing and visualization software
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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, manual and automated compensation, data analysis, interpretation and visualization. Good understanding of the theory behind flow cytometry & related data analysis. Experience with spectral cytometry is an
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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methods and procedures for use in the joint project Evaluation, analysis, and visualization of data Documentation of laboratory work Collaboration with other project partners and regular presentation
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 21 days ago
modelling Proven skills in Fortran, Python or a similar programming language Skills in the processing, statistical analysis and visualization of data Very good English knowledge (approximately equivalent to
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. Michael Rehli) supports LIT researchers in high-throughput data generation, processing, analysis, visualization and interpretation, as well as by providing IT infrastructure, software training and
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(e.g. Pydantic, JSON Schema) is advantageous experience with data visualization, image analysis and segmentation methods, machine learning pipelines, or workflow orchestration frameworks (especially