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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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of the relevant processes with the highest possible resolution. Your Profile A strong background and interest in plant cell biology, biochemistry, physiology and molecular biology We offer Research in a highly
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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Association. ZPID is undergoing a strategic extension process aimed at becoming a one-stop, full-service provider supporting the entire spectrum of needs expressed by researchers and psychology professionals
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on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have
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to boron-efficiency and to developmental root growth processes. A unique set of highly boron-efficient Arabidopsis and Brassica napus accessions is ready to be exploited. You will benefit from advanced
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Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art
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information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm
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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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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work