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Field
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methods (e.g. X-ray reflectivity, X-ray fluorescence) Design of cells and reactors for operando studies Coordination and execution of synchrotron beamtimes Collaboration with other groups, in particular
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biomedical sciences. What You Can Expect: We offer a diverse and stimulating range of tasks in the field of big data analysis, where you will develop and apply advanced computational methods to analyze complex
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spectroscopic or microscopic methods and subsequent optimization Advancements of experiments, measuring methods and measuring technology and improvement of experimental equipment Presentation of results
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to environmental changes in the ocean and what effects this has on ecosystems and biogeochemical cycles, particularly the uptake and storage of carbon dioxide in the sea. Methods used include the analysis
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methods and ideas PhD in Physics, meteorology or a related subject Experience with running and evaluating models English skills that allow one to communicate in an international working environment, and to
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[max. 2 hours per week (per term/semester)]. Your profile: University degree (PhD / Dr. rer. nat. / Dr. Ing.) in the field of Physical Geography, Geoecology, Geoarchaeology, Environmental Sciences
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and apply cutting-edge methods in artificial intelligence (AI) to address urgent societal and environmental challenges such as improving food security, promoting animal welfare, protecting biodiversity
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team and lead the development and application of machine learning methods to large-scale genomic data generated at IPK-Gatersleben, with a focus on the impact of genetic variation on gene regulation
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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objectives is the development of methods for culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large-scale / high-throughput analyses. Your Role