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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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radiolysis as a tool to study fundamental molecular energy conversion processes such as charge separation, transfer/transport and recombination, as well as projects with applications in light-driven chemical
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, the research will also involve the use of pulse radiolysis as a tool for the characterization of transient intermediates involved in energy-related catalytic processes in organic solvents, e.g., CO2
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for candidates to have the following skills and experience: Essential criteria PhD or equivalent experience in relevant area. Knowledge or interest in Natural Language Processing, ideally as applied to big
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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Website Link https://phoenixmed.arizona.edu/cts/phd Location Greater Phoenix Area Address Phoenix, AZ USA Position Highlights A full-time Postdoctoral Research Associate position is available in
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alignments, data acquisition, image processing and structure calculation using a variety of cryo-EM software. The candidate should be comfortable using Linux. Strong written and oral communication skills in
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Organisation Job description Within the Department of Operations, a post-doc position is available on the topic of logistics for customization in secondary education with self-regulation. A paradigm
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization