38 condition-monitoring-machine-learning Postdoctoral positions at Technical University of Munich in Germany
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to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental conditions, to large field-scale
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with single-cell RNAseq analysis. • Long-term perspectives for an independent position • A modern workplace in a brand-new building, with top equipment, Home office and flexible working conditions
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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- Experience in RNA-sequencing and bio-informatic analysis is a plus - Flexible team player We are offering excellent research conditions, a highly motivated and interdisciplinary team, a friendly working
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conditions in a young and interdisciplinary team. In an open environment, you will have the freedom to develop and realize your own ideas. Situated on the Bavarian forest gate, Straubing, the old ducal town
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graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly
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. Zusätzlich wird fließendes Englisch in Sprache und Schrift erwartet. Wir bieten Ihnen: Bei entsprechender Qualifikation einen GastprofessorInnen Status der TUM, mit öffentlichkeitswirksamer Darstellung auf der
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small quantum sensors to perform NMR and EPR spectroscopy on nanometer to micrometer small samples, reveal the inner working of Lithium batteries and acquire three-dimensional pictures of single proteins