810 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Universidade de Coimbra" uni jobs in Germany
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, independent working style Experience in Computer Vision The weekly working time is 10-20 hours. The position is initially limited to three months, an extension is intended. We value and promote the diversity
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skills Physical presence in our labs Strong knowledge in mathematics and linear algebra Proficient English skills Precise, responsible, independent working style Experience in Computer Vision Experience in
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of Pu in both solution and solid phases using advanced spectroscopic and analytical techniques. - Analyze and interpret spectroscopic data to understand Pu behavior in carbonate-rich environments
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. Qualified female candidates are especially invited to apply. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection
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economic assessment of potentials. In the BMFTR-funded research project “SynAgri-PV”, we continuously collect microclimatic data at a pilot plant near Paderborn (Büren). The blueberry harvest in an Agri-PV
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | about 2 months 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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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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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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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