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Biomedical Sciences, Microbiology, or related fields; experience with anaerobic bacterial culturing, mass spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with
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spectrometry data analysis; experience with omics analyses and coding (e.g. python, R); experience with bacterial genetic engineering or mammalian cell culture is a plus; good project and time management skills
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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Biology, Neuroscience/(neuro-)immunology, or related fields; preferably experience with big data and omics analyses and coding (e.g. python, R); affinity and experience with performing animal experiments
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steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories, identify
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innovative steelmaking technologies (e.g., Direct Reduced Iron with hydrogen) and exploring long-term transition pathways through prospective LCA. It will evaluate multiple environmental impact categories