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Field
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Flexible working hours as well as a reasonable remuneration A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work
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or related with strong bioinformatics background) (m/f/d) with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as
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Your Job: • Addressing socio-technical research questions in the context of the transformation of the German energy system • Analyzing microdata (e.g., survey data, digital behavioral data) and
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reality can be restored and sustained in the face of increasingly polarized information environments and the widespread dissemination of misinformation. The project addresses two main research questions
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research on soil invertebrate communities. About the Project: Soil is a large reservoir of greenhouse gases (GHG). It can sequestrate or release potent GHG (CO2 , CH4 and N2 O). Soil invertebrates partake
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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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enable the model to infer health-related information directly from NMR spectra of human blood. To this end, the model will be pre-trained using self-supervised learning on large-scale, partly synthetic
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Dynamics (W-0041 | all genders) in the broad field of climate dynamics. Areas include, but are not limited to, cloud-circulation coupling, climate feedback and sensitivity, polar climate change, and large
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part