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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | about 1 month ago
local communities faced urgent technical challenges, some from the past, such as moving ships, and others that were important in the past and remain so today, such as the supply of water. More information
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knowledge of working in laboratories, with scientific equipment, and in digital data processing. You are motivated to learn how to control modern technologies, methods, and processes in the field of optical
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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with your work Please find further information and eligibility criteria on www.dkfz.de/clinicianscientist Contact: Dr. Mariana Schulte-Sasse Phone: +49 6221 42-1696 The position is initially limited to 2
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processing the data collected in the course of the study. Requirements: Degree programme in law or computer science; strong interest in AI applications and in the associated legal and economic issues; strong
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the proportion of women in areas where they are underrepresented. Women are therefore expressly encouraged to apply. CONTACT For further information, please contact Dr. Zhaolu Diao (zhaolu.diao@mr.mpg.de
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skills, and confidence in using computer applications. We require enthusiasm and excitement for our topics. What we offer We are committed to creating an inspiring working environment in which all
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, sustainability and user needs. Working digitally and sustainably: You will use Building Information Management (BIM) with CAFM integration, deliver structured and reliable data, take life cycle costs into account
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sciences as well as in the rapidly growing fields of Digital Ocean Twins and multiuse of resources. Your tasks We are looking for a motivated and eager-to-learn new colleague with good programming or data
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machine learning, AI, and computational data analysis Solid understanding of biological and biomedical concepts, particularly in genomics, transcriptomics, or single-cell technologies Proven experience