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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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for this development, but will work in a team of other PhD candidates, postdocs and technicians that will assist. Finally, the full 0.7-MV prototype will be developed along similar lines and with all lessons learned
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processing techniques, supported by artificial intelligence and machine learning algorithms, to streamline the interpretation of spectroscopic data. The research will be carried out in close collaboration
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sectors.QualificationsYou must have a PhD in chemistry or chemical physics or similar, with an expertise in electrocatalysis or electrochemistry.Experience with materials synthesis and/or in situ/operando characterization is
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,- Machine vision and deep learning for dynamic scene understanding.Moreover, the candidate will have the opportunity to implement and evaluate the proposed algorithms and schemeson autonomous vehicles
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Do you want to contribute to improving human health? Division Do you want to contribute as a post-doctoral researcher analyzing machine-learning approaches to detect and diagnose breast cancer in
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, Brain Machine Interfaces, Computational Neuroscience Desired qualifications: Biomedical laboratory experience Experimental design Sensor fusion Machine learning Control system development Biomedical
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
are searching for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine
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-to-system solutions to prepare and submit your application to Grants.gov and track your application in eRA Commons. Learn more . Table of Contents Part 1. Overview Information Part 2. Full Text