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Field
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
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the Phytophotonics department, you will work as part of an interdisciplinary team at the interface between plant sciences and optical technologies. The focus is on various spectroscopic and imaging methods
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, science and religion, people of all backgrounds and convictions come together here. As one of the leading centers of Jewish Studies in Germany, it combines academic excellence with social openness and
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profile: A degree in physiotherapy, occupational therapy, movement science, sport and exercise science, or a related field Interest in musicians’ health and wellbeing Interest in eHealth/mHealth
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: if you have a strong interest in plant physiology and root biology. if you
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
Job Code: 18-25 Job Offer from June 04, 2025 The Department of Prof. Dr. Stefan W. Hell invites applications for a PhD position exploring AI approaches in optical science, molecular imaging and
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models