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, transcriptome analyses and 2D and 3D image analyses, the latter using OPT and LSFM. The study also requires routinely used developmental and molecular biology methods, such as cloning of expression constructs
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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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consider the K08 or K23 program (see: K Kiosk ). Special Note: Because of the differences in individual Institute and Center (IC) program requirements for this FOA, prospective applicantsare strongly
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of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k
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interdisciplinary cooperations with partners and stakeholders from different domains. Candidates should have completed their Doctoral studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering or