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Field
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of this position is to bring together microbiology and biogeochemistry to effectively integrate biological and biogeochemical data that stem from laboratory incubation experiments to large scale environmental
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Experience in conducting complex laboratory experiments and test series, with experimental design and measurement data handling Good programming skills in Python Experience with hardware-related programming is
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acquiring and labeling the data set. This is especially limiting for robots operating in a wide variety of environments and performing exploration tasks. Therefore, state-of-the-art semantic traversability
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with interdisciplinary backgrounds. Be part of change Support the team to improve the accuracy of the FEM simulation model Post-processing the simulation results in Python Programming, data analysis and
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relations and visibility in data infrastructures as well as ethically responsible data use and networking. Research associate Collaborative digital knowledge infrastructures Tasks Digital provision and
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Max Planck Institute for the Study of Religious and Ethnic Diversity, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
decades of experience with democracy. The project relies on a multi-method approach, including quantitative analysis of news reporting on political violence, electoral and other administrative data, survey
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), deep learning, and multimodal data integration. The ideal candidate will be able to design and apply AI/ML approaches to high-dimensional datasets, including single-cell omics, chromatin profiling, and
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(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
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Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath-peter-lab-index.html Your tasks Building large scale foundation models Applying and further developing single cell segmentation
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responsibilities: creating online surveys, analysing survey data and reporting results contributing to the management of scientific project data and development of structured knowledge resources assisting with